Last updated on 2025-12-25 19:50:13 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.5.0 | 31.78 | 597.89 | 629.67 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.5.0 | 22.03 | 397.63 | 419.66 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2.5.0 | 65.00 | 1028.58 | 1093.58 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 2.5.0 | 57.00 | 927.99 | 984.99 | OK | |
| r-devel-windows-x86_64 | 2.5.0 | 39.00 | 630.00 | 669.00 | OK | |
| r-patched-linux-x86_64 | 2.5.0 | 35.95 | 559.54 | 595.49 | OK | |
| r-release-linux-x86_64 | 2.5.0 | 33.58 | 555.35 | 588.93 | OK | |
| r-release-macos-arm64 | 2.5.0 | OK | ||||
| r-release-macos-x86_64 | 2.5.0 | 19.00 | 482.00 | 501.00 | OK | |
| r-release-windows-x86_64 | 2.5.0 | 40.00 | 576.00 | 616.00 | OK | |
| r-oldrel-macos-arm64 | 2.5.0 | OK | ||||
| r-oldrel-macos-x86_64 | 2.5.0 | 19.00 | 257.00 | 276.00 | OK | |
| r-oldrel-windows-x86_64 | 2.5.0 | 51.00 | 807.00 | 858.00 | NOTE |
Version: 2.5.0
Check: examples
Result: ERROR
Running examples in ‘EpiModel-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: get_sims
> ### Title: Extract Network Simulations
> ### Aliases: get_sims
> ### Keywords: extract
>
> ### ** Examples
>
> # Network model estimation
> nw <- network_initialize(n = 100)
> formation <- ~edges
> target.stats <- 50
> coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 20)
> est1 <- netest(nw, formation, target.stats, coef.diss, verbose = FALSE)
Starting maximum pseudolikelihood estimation (MPLE):
Obtaining the responsible dyads.
Evaluating the predictor and response matrix.
Maximizing the pseudolikelihood.
Finished MPLE.
>
> # Epidemic model
> param <- param.net(inf.prob = 0.3)
> init <- init.net(i.num = 10)
> control <- control.net(type = "SI", nsteps = 10, nsims = 3, verbose.int = 0)
> mod1 <- netsim(est1, param, init, control)
Starting Network Simulation...
Sim = 1/3
Sim = 2/3
Sim = 3/3>
> # Get sim 2
> s.g2 <- get_sims(mod1, sims = 2)
>
> # Get sims 2 and 3 and keep only a subset of variables
> s.g2.small <- get_sims(mod1, sims = 2:3, var = c("i.num", "si.flow"))
>
> # Extract the mean simulation for the variable i.num
> sim.mean <- get_sims(mod1, sims = "mean", var = "i.num")
Error in xtfrm.data.frame(list(sim1 = 1.66666666666667, sim2 = 0.333333333333332, :
cannot xtfrm data frames
Calls: get_sims -> xtfrm -> xtfrm.data.frame
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 2.5.0
Check: tests
Result: ERROR
Running ‘test-all.R’ [238s/311s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> library(testthat)
> test_check("EpiModel")
Loading required package: EpiModel
Loading required package: deSolve
Loading required package: networkDynamic
Loading required package: network
'network' 1.19.0 (2024-12-08), part of the Statnet Project
* 'news(package="network")' for changes since last version
* 'citation("network")' for citation information
* 'https://statnet.org' for help, support, and other information
'networkDynamic' 0.11.5 (2024-11-21), part of the Statnet Project
* 'news(package="networkDynamic")' for changes since last version
* 'citation("networkDynamic")' for citation information
* 'https://statnet.org' for help, support, and other information
Loading required package: tergm
Loading required package: ergm
'ergm' 4.11.0 (2025-12-22), part of the Statnet Project
* 'news(package="ergm")' for changes since last version
* 'citation("ergm")' for citation information
* 'https://statnet.org' for help, support, and other information
'ergm' 4 is a major update that introduces some backwards-incompatible
changes. Please type 'news(package="ergm")' for a list of major
changes.
'tergm' 4.2.2 (2025-06-15), part of the Statnet Project
* 'news(package="tergm")' for changes since last version
* 'citation("tergm")' for citation information
* 'https://statnet.org' for help, support, and other information
Attaching package: 'tergm'
The following object is masked from 'package:ergm':
snctrl
Loading required package: statnet.common
Attaching package: 'statnet.common'
The following object is masked from 'package:ergm':
snctrl
The following objects are masked from 'package:base':
attr, order, replace
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statisticsEpiModel Network Diagnostics
=======================
Diagnostic Method: Static
Simulations: 10
Formation Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 50 48.2 -3.6 0.763 -2.359 NA
offset(deg6+) NA 0.0 NA NaN NA NA
nodematch.sex 0 0.0 NaN NaN NaN NA
nodematch.race 20 17.1 -14.5 0.912 -3.179 NA
deg6+ 0 0.0 NaN NaN NaN NA
offset(nodematch.sex) NA 0.0 NA NaN NA NA
degree5 0 0.0 NaN NaN NaN NA
SD(Statistic)
edges 6.125
offset(deg6+) 0.000
nodematch.sex 0.000
nodematch.race 2.885
deg6+ 0.000
offset(nodematch.sex) 0.000
degree5 0.000
Network Diagnostics
-----------------------
- Simulating 10 networks
|**********|
- Calculating formation statisticsEpiModel Network Diagnostics
=======================
Diagnostic Method: Dynamic
Simulations: 10
Time Steps per Sim: 5
Formation Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 50 48.62 -2.76 0.627 -2.203 3.775
offset(deg6+) NA 0.00 NA NaN NA 0.000
nodematch.sex 0 0.00 NaN NaN NaN 0.000
nodematch.race 20 20.38 1.90 0.376 1.012 2.260
deg6+ 0 0.00 NaN NaN NaN 0.000
offset(nodematch.sex) NA 0.00 NA NaN NA 0.000
degree5 0 0.00 NaN NaN NaN 0.000
SD(Statistic)
edges 4.430
offset(deg6+) 0.000
nodematch.sex 0.000
nodematch.race 2.656
deg6+ 0.000
offset(nodematch.sex) 0.000
degree5 0.000
Duration Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.446 -5.543 0.173 -3.199 1.309 1.331
Dissolution Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.108 8.301 0.004 1.922 0.014 0.045
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 2
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.5
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 sim2
Transmissions: sim1 sim2
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 50 47.6 -4.8 1.408 -1.705 1.131
offset(deg6+) NA 0.0 NA NaN NA 0.000
nodematch.sex 0 0.0 NaN NaN NaN 0.000
nodematch.race 20 20.8 4.0 1.405 0.569 5.374
deg6+ 0 0.0 NaN NaN NaN 0.000
offset(nodematch.sex) NA 0.0 NA NaN NA 0.000
degree5 0 0.0 NaN NaN NaN 0.000
SD(Statistic)
edges 4.452
offset(deg6+) 0.000
nodematch.sex 0.000
nodematch.race 4.442
deg6+ 0.000
offset(nodematch.sex) 0.000
degree5 0.000
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 10.1 0.995 0.429 0.232 1.433 1.358
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.11 10.355 0.011 0.908 0.013 0.036
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statisticsEpiModel Network Diagnostics
=======================
Diagnostic Method: Static
Simulations: 10
Formation Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 50 54.5 9.0 1.579 2.849 NA
offset(deg6+) NA 0.0 NA NaN NA NA
nodematch.sex 0 0.0 NaN NaN NaN NA
nodematch.race 20 22.3 11.5 1.012 2.274 NA
deg6+ 0 0.0 NaN NaN NaN NA
offset(nodematch.sex) NA 0.0 NA NaN NA NA
degree5 0 0.0 NaN NaN NaN NA
SD(Statistic)
edges 4.994
offset(deg6+) 0.000
nodematch.sex 0.000
nodematch.race 3.199
deg6+ 0.000
offset(nodematch.sex) 0.000
degree5 0.000
Network Diagnostics
-----------------------
- Simulating 10 networks
|**********|
- Calculating formation statisticsEpiModel Network Diagnostics
=======================
Diagnostic Method: Dynamic
Simulations: 10
Time Steps per Sim: 5
Formation Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 50 51.04 2.08 0.906 1.148 6.342
offset(deg6+) NA 0.00 NA NaN NA 0.000
nodematch.sex 0 0.00 NaN NaN NaN 0.000
nodematch.race 20 20.82 4.10 0.594 1.380 4.039
deg6+ 0 0.00 NaN NaN NaN 0.000
offset(nodematch.sex) NA 0.00 NA NaN NA 0.000
degree5 0 0.00 NaN NaN NaN 0.000
SD(Statistic)
edges 6.408
offset(deg6+) 0.000
nodematch.sex 0.000
nodematch.race 4.202
deg6+ 0.000
offset(nodematch.sex) 0.000
degree5 0.000
Duration Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.887 -1.128 0.168 -0.671 1.413 1.422
Dissolution Diagnostics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.1 -0.264 0.005 -0.055 0.018 0.038
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 2
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.5
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 sim2
Transmissions: sim1 sim2
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 50 49.7 -0.6 2.422 -0.124 9.475
offset(deg6+) NA 0.0 NA NaN NA 0.000
nodematch.sex 0 0.0 NaN NaN NaN 0.000
nodematch.race 20 21.3 6.5 1.055 1.233 3.536
deg6+ 0 0.0 NaN NaN NaN 0.000
offset(nodematch.sex) NA 0.0 NA NaN NA 0.000
degree5 0 0.0 NaN NaN NaN 0.000
SD(Statistic)
edges 7.660
offset(deg6+) 0.000
nodematch.sex 0.000
nodematch.race 3.335
deg6+ 0.000
offset(nodematch.sex) 0.000
degree5 0.000
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.569 -4.309 0.312 -1.379 1.272 0.988
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.092 -8.029 0.018 -0.436 0.007 0.058
Saving _problems/test-get-90.R
Network Model Control Settings
===============================
type = SI
nsteps = 5
start = 1
nsims = 3
ncores = 1
resimulate.network = FALSE
tergmLite = FALSE
cumulative.edgelist = FALSE
truncate.el.cuml = 0
module.order =
save.nwstats = TRUE
nwstats.formula = <list>
save.transmat = TRUE
save.network = TRUE
save.run = TRUE
save.cumulative.edgelist = FALSE
save.other =
verbose = TRUE
verbose.int = 1
skip.check = FALSE
raw.output = FALSE
tergmLite.track.duration = TRUE
save.diss.stats = TRUE
attr.rules = <list>
Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 2/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 3/5
Prevalence: 13
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 4/5
Prevalence: 16
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 5/5
Prevalence: 17
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 2/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 3/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 4/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 5/5
Prevalence: 14
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 2/5
Prevalence: 10
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 3/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 4/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 5/5
Prevalence: 16
Population Size: 50
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
triangle NA 0 NA NaN NA 0 0
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.05 -9.502 0.257 -3.699 0.952 0.995
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.087 -13.122 0.015 -0.862 0.031 0.059
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
triangle NA 0 NA NaN NA 0 0
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.05 -9.502 0.257 -3.699 0.952 0.995
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.087 -13.122 0.015 -0.862 0.031 0.059
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 22.600 -9.600 1.166 -2.058 0.872
nodematch.race 10 9.933 -0.667 0.458 -0.145 0.833
SD(Statistic)
edges 4.517
nodematch.race 2.492
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.017 1.678 0.008 2.119 0.01 0.031
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.98 -1.968 0.01 -1.903 0.009 0.04
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
mean.age NA 3.664 NA 0.332 NA 0.197 1.284
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 18.73 -6.352 0.989 -1.285 4.438 3.83
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.058 15.02 0.009 0.823 0.019 0.035
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 15.933 NA 1.021 NA 1.102 3.955
degree1 NA 20.133 NA 0.524 NA 1.858 2.031
degree2 NA 9.600 NA 0.522 NA 1.058 3.019
degree3 NA 3.667 NA 0.412 NA 1.677 2.257
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.013 1.333 0.006 2.167 0.012 0.03
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.989 -1.111 0.005 -2.279 0.011 0.024
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 24.733 -1.067 0.686 -0.389 5.515
nodematch.race 10 11.000 10.000 0.717 1.394 3.175
SD(Statistic)
edges 4.728
nodematch.race 2.777
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 17.169 -14.153 0.543 -5.212 1.761 2.051
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.068 36.365 0.01 1.773 0.029 0.051
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 6/11
Prevalence: 20
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 7/11
Prevalence: 22
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 8/11
Prevalence: 25
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 9/11
Prevalence: 25
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 10/11
Prevalence: 27
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 11/11
Prevalence: 28
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 6/11
Prevalence: 17
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 7/11
Prevalence: 19
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 8/11
Prevalence: 21
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 9/11
Prevalence: 23
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 10/11
Prevalence: 24
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 11/11
Prevalence: 24
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 6/11
Prevalence: 17
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 7/11
Prevalence: 19
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 8/11
Prevalence: 19
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 9/11
Prevalence: 21
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 10/11
Prevalence: 21
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 11/11
Prevalence: 24
Population Size: 50
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
triangle NA 0.212 NA 0.117 NA 0.292 0.415
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 11.26 12.598 0.818 1.54 2.155 2.324
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.091 -9.385 0.01 -0.95 0.013 0.05
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
triangle NA 0.212 NA 0.117 NA 0.292 0.415
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 11.26 12.598 0.818 1.54 2.155 2.324
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.091 -9.385 0.01 -0.95 0.013 0.05
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 23.788 -4.848 0.823 -1.473 0.729
nodematch.race 10 10.091 0.909 0.203 0.449 0.241
SD(Statistic)
edges 4.729
nodematch.race 2.720
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.017 1.676 0.005 3.657 0.002 0.026
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.98 -1.965 0.006 -3.374 0.004 0.033
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
mean.age NA 5.928 NA 1.112 NA 0.377 2.429
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 19.202 -3.989 0.769 -1.038 4.52 3.863
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.048 -4.638 0.005 -0.488 0.008 0.036
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 17.364 NA 0.806 NA 1.429 5.147
degree1 NA 19.273 NA 0.372 NA 0.744 3.564
degree2 NA 9.424 NA 0.476 NA 1.392 3.553
degree3 NA 3.182 NA 0.158 NA 0.958 2.038
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.018 1.751 0.004 4.705 0.013 0.032
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.984 -1.645 0.004 -3.68 0.014 0.032
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 24.061 -3.758 1.007 -0.933 4.504
nodematch.race 10 10.212 2.121 0.600 0.354 3.358
SD(Statistic)
edges 4.062
nodematch.race 2.997
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 17.199 -14.003 0.285 -9.816 1.804 1.787
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.056 11.662 0.007 0.828 0.015 0.048
Network Model Control Settings
===============================
type = SI
nsteps = 5
start = 1
nsims = 3
ncores = 1
resimulate.network = TRUE
tergmLite = FALSE
cumulative.edgelist = FALSE
truncate.el.cuml = 0
module.order =
save.nwstats = TRUE
nwstats.formula = <list>
save.transmat = TRUE
save.network = TRUE
save.run = TRUE
save.cumulative.edgelist = FALSE
save.other =
verbose = TRUE
verbose.int = 1
skip.check = FALSE
raw.output = FALSE
tergmLite.track.duration = TRUE
save.diss.stats = TRUE
attr.rules = <list>
Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 2/5
Prevalence: 10
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 3/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 4/5
Prevalence: 13
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 5/5
Prevalence: 14
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 2/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 3/5
Prevalence: 13
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 4/5
Prevalence: 16
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 5/5
Prevalence: 19
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 2/5
Prevalence: 13
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 3/5
Prevalence: 14
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 4/5
Prevalence: 18
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 5/5
Prevalence: 22
Population Size: 50
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.467 NA 0.235 NA 0.643
nodefactor.deg.4.1 NA 18.267 NA 1.062 NA 2.403
SD(Statistic)
triangle 0.743
nodefactor.deg.4.1 4.114
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.091 -9.092 0.343 -2.652 1.33 1.328
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.08 -20.093 0.016 -1.241 0.026 0.063
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.467 NA 0.235 NA 0.643
nodefactor.deg.4.1 NA 18.267 NA 1.062 NA 2.403
SD(Statistic)
triangle 0.743
nodefactor.deg.4.1 4.114
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.091 -9.092 0.343 -2.652 1.33 1.328
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.08 -20.093 0.016 -1.241 0.026 0.063
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 24.400 -2.400 1.290 -0.465 3.904
nodematch.race 10 9.533 -4.667 0.583 -0.800 1.701
SD(Statistic)
edges 4.997
nodematch.race 2.875
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.027 2.725 0.011 2.56 0.012 0.041
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.974 -2.574 0.009 -2.736 0.009 0.036
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 3.641 NA 0.318 NA 0.105
nodefactor.deg.2.2 NA 9.133 NA 0.614 NA 0.833
SD(Statistic)
mean.age 1.233
nodefactor.deg.2.2 3.067
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 20.445 2.223 0.705 0.631 2.968 2.729
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.047 -5.953 0.011 -0.265 0.02 0.044
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 17.733 NA 0.881 NA 2.053 3.411
degree1 NA 19.400 NA 1.032 NA 2.117 3.996
degree2 NA 9.200 NA 0.863 NA 0.721 3.342
degree3 NA 2.667 NA 0.245 NA 1.026 1.799
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.034 3.421 0.009 3.949 0.018 0.034
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.967 -3.259 0.008 -3.936 0.016 0.032
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 26.667 6.667 0.308 5.420 2.901
nodematch.race 10 11.000 10.000 0.414 2.415 1.587
nodefactor.deg.5.1 NA 15.400 NA 0.820 NA 3.200
SD(Statistic)
edges 2.582
nodematch.race 1.604
nodefactor.deg.5.1 3.203
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 23.082 15.41 1.189 2.593 5.083 4.604
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.061 22.68 0.008 1.497 0.004 0.048
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 6/11
Prevalence: 16
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 7/11
Prevalence: 20
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 8/11
Prevalence: 23
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 9/11
Prevalence: 24
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 10/11
Prevalence: 26
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 11/11
Prevalence: 28
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 6/11
Prevalence: 19
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 7/11
Prevalence: 22
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 8/11
Prevalence: 26
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 9/11
Prevalence: 27
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 10/11
Prevalence: 28
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 11/11
Prevalence: 29
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 6/11
Prevalence: 24
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 7/11
Prevalence: 25
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 8/11
Prevalence: 25
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 9/11
Prevalence: 28
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 10/11
Prevalence: 31
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 11/11
Prevalence: 31
Population Size: 50
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.212 NA 0.148 NA 0.292
nodefactor.deg.4.1 NA 18.758 NA 0.822 NA 1.837
SD(Statistic)
triangle 0.545
nodefactor.deg.4.1 4.724
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 11.184 11.845 0.352 3.37 1.368 1.484
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.091 -9.249 0.011 -0.84 0.013 0.063
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.212 NA 0.148 NA 0.292
nodefactor.deg.4.1 NA 18.758 NA 0.822 NA 1.837
SD(Statistic)
triangle 0.545
nodefactor.deg.4.1 4.724
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 11.184 11.845 0.352 3.37 1.368 1.484
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.091 -9.249 0.011 -0.84 0.013 0.063
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 25.485 1.939 1.237 0.392 2.728
nodematch.race 10 9.788 -2.121 0.436 -0.487 1.211
SD(Statistic)
edges 5.718
nodematch.race 3.170
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.022 2.183 0.004 5.522 0.009 0.033
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.978 -2.196 0.003 -7.238 0.011 0.033
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 5.839 NA 1.088 NA 0.198
nodefactor.deg.2.2 NA 9.758 NA 0.642 NA 2.767
SD(Statistic)
mean.age 2.379
nodefactor.deg.2.2 4.677
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 16.992 -15.038 0.619 -4.855 2.288 2.478
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.053 6.686 0.007 0.449 0.015 0.043
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 18.515 NA 0.623 NA 1.959 3.581
degree1 NA 18.636 NA 0.604 NA 1.106 3.471
degree2 NA 9.485 NA 0.457 NA 0.892 3.650
degree3 NA 2.424 NA 0.295 NA 0.430 1.696
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.024 2.441 0.004 6.904 0.007 0.029
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.974 -2.613 0.006 -4.387 0.008 0.034
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 25.303 1.212 0.787 0.385 3.046
nodematch.race 10 10.576 5.758 0.437 1.316 1.325
nodefactor.deg.5.1 NA 15.424 NA 0.598 NA 1.821
SD(Statistic)
edges 3.405
nodematch.race 1.821
nodefactor.deg.5.1 2.463
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 20.784 3.922 0.71 1.105 2.914 2.877
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.056 11.873 0.007 0.811 0.011 0.05
Network Model Control Settings
===============================
type = SI
nsteps = 5
start = 1
nsims = 3
ncores = 1
resimulate.network = TRUE
tergmLite = FALSE
cumulative.edgelist = FALSE
truncate.el.cuml = 0
module.order =
save.nwstats = TRUE
nwstats.formula = <list>
save.transmat = TRUE
save.network = TRUE
save.run = TRUE
save.cumulative.edgelist = FALSE
save.other =
verbose = TRUE
verbose.int = 1
skip.check = FALSE
raw.output = FALSE
tergmLite.track.duration = TRUE
save.diss.stats = TRUE
attr.rules = <list>
Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 2/5
Prevalence: 10
Population Size: 49
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 3/5
Prevalence: 11
Population Size: 49
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 4/5
Prevalence: 13
Population Size: 48
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 5/5
Prevalence: 14
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 2/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 3/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 4/5
Prevalence: 12
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 5/5
Prevalence: 12
Population Size: 48
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 2/5
Prevalence: 9
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 3/5
Prevalence: 11
Population Size: 51
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 4/5
Prevalence: 11
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 5/5
Prevalence: 11
Population Size: 53
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.000 NA NaN NA 0.000
nodefactor.deg.4.1 NA 15.533 NA 0.612 NA 3.443
SD(Statistic)
triangle 0.000
nodefactor.deg.4.1 4.438
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.762 -2.38 0.432 -0.551 1.353 1.673
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.124 24.231 0.02 1.222 0.026 0.077
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.000 NA NaN NA 0.000
nodefactor.deg.4.1 NA 15.533 NA 0.612 NA 3.443
SD(Statistic)
triangle 0.000
nodefactor.deg.4.1 4.438
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.762 -2.38 0.432 -0.551 1.353 1.673
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.124 24.231 0.02 1.222 0.026 0.077
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 24.333 -2.667 1.027 -0.649 1.026
nodematch.race 10 10.333 3.333 0.591 0.564 1.102
SD(Statistic)
edges 3.976
nodematch.race 2.289
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.016 1.624 0.011 1.502 0.016 0.034
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.982 -1.794 0.011 -1.571 0.019 0.036
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 3.426 NA 0.253 NA 0.204
nodefactor.deg.2.2 NA 8.467 NA 0.764 NA 2.802
SD(Statistic)
mean.age 0.978
nodefactor.deg.2.2 3.980
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 19.13 -4.351 1.198 -0.726 4.612 4.639
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.139 178.163 0.025 3.562 0.046 0.097
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 20.133 NA 0.744 NA 0.643 5.139
degree1 NA 17.533 NA 0.975 NA 0.611 3.777
degree2 NA 7.933 NA 1.002 NA 0.757 3.882
degree3 NA 2.733 NA 0.299 NA 0.416 1.792
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.018 1.795 0.004 5.109 0.004 0.024
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.978 -2.194 0.008 -2.719 0.005 0.031
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 18.867 -24.533 0.542 -11.312 0.808
nodematch.race 10 7.333 -26.667 1.080 -2.469 3.870
nodefactor.deg.5.1 NA 19.133 NA 0.386 NA 0.503
SD(Statistic)
edges 2.100
nodematch.race 3.416
nodefactor.deg.5.1 2.031
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 19.974 -0.129 1.068 -0.024 4.412 4.137
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.105 109.715 0.019 2.826 0.017 0.075
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 6/11
Prevalence: 14
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 7/11
Prevalence: 15
Population Size: 52
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 8/11
Prevalence: 18
Population Size: 52
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 9/11
Prevalence: 19
Population Size: 51
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 10/11
Prevalence: 19
Population Size: 49
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 11/11
Prevalence: 20
Population Size: 46
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 6/11
Prevalence: 14
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 7/11
Prevalence: 15
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 8/11
Prevalence: 17
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 9/11
Prevalence: 17
Population Size: 48
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 10/11
Prevalence: 16
Population Size: 48
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 11/11
Prevalence: 17
Population Size: 52
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 6/11
Prevalence: 12
Population Size: 54
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 7/11
Prevalence: 12
Population Size: 55
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 8/11
Prevalence: 14
Population Size: 54
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 9/11
Prevalence: 16
Population Size: 56
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 10/11
Prevalence: 16
Population Size: 55
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 11/11
Prevalence: 16
Population Size: 52
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.121 NA 0.197 NA 0.210
nodefactor.deg.4.1 NA 14.939 NA 0.836 NA 3.443
SD(Statistic)
triangle 0.331
nodefactor.deg.4.1 4.802
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.084 -9.157 0.344 -2.665 1.088 1.946
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.148 47.603 0.008 6.128 0.009 0.101
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.121 NA 0.197 NA 0.210
nodefactor.deg.4.1 NA 14.939 NA 0.836 NA 3.443
SD(Statistic)
triangle 0.331
nodefactor.deg.4.1 4.802
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 10 9.084 -9.157 0.344 -2.665 1.088 1.946
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.1 0.148 47.603 0.008 6.128 0.009 0.101
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 23.697 -5.212 0.808 -1.613 1.589
nodematch.race 10 9.727 -2.727 0.489 -0.558 1.139
SD(Statistic)
edges 4.640
nodematch.race 2.809
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.015 1.462 0.006 2.598 0.006 0.028
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.985 -1.453 0.006 -2.617 0.008 0.028
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 5.282 NA 0.863 NA 0.224
nodefactor.deg.2.2 NA 7.121 NA 0.750 NA 0.548
SD(Statistic)
mean.age 2.030
nodefactor.deg.2.2 3.756
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 16.993 -15.034 0.749 -4.016 0.992 2.186
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.123 145.051 0.015 4.788 0.01 0.087
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 19.152 NA 0.691 NA 2.003 5.274
degree1 NA 18.576 NA 0.476 NA 1.211 3.825
degree2 NA 8.485 NA 0.355 NA 0.955 3.675
degree3 NA 3.030 NA 0.251 NA 0.845 1.845
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 1.027 2.712 0.004 6.493 0.005 0.032
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 1 0.972 -2.84 0.004 -7.88 0.005 0.032
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 17.848 -28.606 0.538 -13.297 1.747
nodematch.race 10 6.455 -35.455 0.574 -6.175 3.087
nodefactor.deg.5.1 NA 17.848 NA 0.583 NA 1.211
SD(Statistic)
edges 2.647
nodematch.race 2.980
nodefactor.deg.5.1 2.874
Duration Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 20 15.916 -20.418 0.776 -5.259 1.173 3.131
Dissolution Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
edges 0.05 0.115 129.18 0.01 6.69 0.024 0.076
Network Model Control Settings
===============================
type = SI
nsteps = 5
start = 1
nsims = 3
ncores = 1
resimulate.network = TRUE
tergmLite = TRUE
cumulative.edgelist = FALSE
truncate.el.cuml = 0
module.order =
save.nwstats = TRUE
nwstats.formula = <list>
save.transmat = TRUE
save.network = TRUE
save.run = TRUE
save.cumulative.edgelist = FALSE
save.other =
verbose = TRUE
verbose.int = 1
skip.check = FALSE
raw.output = FALSE
tergmLite.track.duration = TRUE
save.diss.stats = TRUE
attr.rules = <list>
Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 2/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 3/5
Prevalence: 13
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 4/5
Prevalence: 15
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 5/5
Prevalence: 17
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 2/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 3/5
Prevalence: 15
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 4/5
Prevalence: 16
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 5/5
Prevalence: 18
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 2/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 3/5
Prevalence: 14
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 4/5
Prevalence: 15
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 5/5
Prevalence: 18
Population Size: 50
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.000 NA NaN NA 0.0
nodefactor.deg.4.1 NA 17.867 NA 1.496 NA 3.7
SD(Statistic)
triangle 0.000
nodefactor.deg.4.1 5.792
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.000 NA NaN NA 0.0
nodefactor.deg.4.1 NA 17.867 NA 1.496 NA 3.7
SD(Statistic)
triangle 0.000
nodefactor.deg.4.1 5.792
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 27.133 8.533 0.689 3.094 2.894
nodematch.race 10 11.467 14.667 0.872 1.682 1.102
SD(Statistic)
edges 4.172
nodematch.race 3.378
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 3.693 NA 0.339 NA 0.112
nodefactor.deg.2.2 NA 9.867 NA 0.374 NA 2.274
SD(Statistic)
mean.age 1.312
nodefactor.deg.2.2 3.091
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 20.600 NA 0.603 NA 1.311 4.611
degree1 NA 17.933 NA 0.549 NA 0.416 3.634
degree2 NA 7.933 NA 0.714 NA 0.833 2.764
degree3 NA 2.800 NA 0.449 NA 0.600 1.740
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 29.400 17.600 1.119 3.932 7.034
nodematch.race 10 13.467 34.667 0.331 10.472 0.611
nodefactor.deg.5.1 NA 21.800 NA 0.677 NA 4.133
SD(Statistic)
edges 6.334
nodematch.race 1.246
nodefactor.deg.5.1 3.668
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 6/11
Prevalence: 19
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 7/11
Prevalence: 20
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 8/11
Prevalence: 21
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 9/11
Prevalence: 24
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 10/11
Prevalence: 25
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 11/11
Prevalence: 28
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 6/11
Prevalence: 18
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 7/11
Prevalence: 20
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 8/11
Prevalence: 23
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 9/11
Prevalence: 24
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 10/11
Prevalence: 25
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 11/11
Prevalence: 29
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 6/11
Prevalence: 21
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 7/11
Prevalence: 26
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 8/11
Prevalence: 28
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 9/11
Prevalence: 30
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 10/11
Prevalence: 32
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 11/11
Prevalence: 34
Population Size: 50
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.152 NA 0.086 NA 0.139
nodefactor.deg.4.1 NA 17.455 NA 1.027 NA 4.366
SD(Statistic)
triangle 0.364
nodefactor.deg.4.1 5.901
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.152 NA 0.086 NA 0.139
nodefactor.deg.4.1 NA 17.455 NA 1.027 NA 4.366
SD(Statistic)
triangle 0.364
nodefactor.deg.4.1 5.901
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 26.788 7.152 0.605 2.957 0.41
nodematch.race 10 10.333 3.333 0.570 0.585 0.41
SD(Statistic)
edges 4.519
nodematch.race 3.276
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 5.706 NA 0.977 NA 0.492
nodefactor.deg.2.2 NA 9.242 NA 0.273 NA 2.680
SD(Statistic)
mean.age 2.278
nodefactor.deg.2.2 4.198
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 19.182 NA 0.808 NA 0.328 4.640
degree1 NA 18.303 NA 0.374 NA 0.458 3.331
degree2 NA 8.636 NA 0.503 NA 0.808 2.892
degree3 NA 3.030 NA 0.303 NA 0.262 1.741
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 28.727 14.909 1.732 2.152 5.565
nodematch.race 10 13.030 30.303 0.646 4.692 1.538
nodefactor.deg.5.1 NA 21.455 NA 0.784 NA 2.461
SD(Statistic)
edges 5.137
nodematch.race 1.828
nodefactor.deg.5.1 3.001
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
Network Model Control Settings
===============================
type = SI
nsteps = 5
start = 1
nsims = 3
ncores = 1
resimulate.network = TRUE
tergmLite = TRUE
cumulative.edgelist = FALSE
truncate.el.cuml = 0
module.order =
save.nwstats = TRUE
nwstats.formula = <list>
save.transmat = TRUE
save.network = TRUE
save.run = TRUE
save.cumulative.edgelist = FALSE
save.other =
verbose = TRUE
verbose.int = 1
skip.check = FALSE
raw.output = FALSE
tergmLite.track.duration = TRUE
save.diss.stats = TRUE
attr.rules = <list>
Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 2/5
Prevalence: 12
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 3/5
Prevalence: 12
Population Size: 51
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 4/5
Prevalence: 13
Population Size: 52
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 5/5
Prevalence: 16
Population Size: 54
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 2/5
Prevalence: 11
Population Size: 52
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 3/5
Prevalence: 10
Population Size: 53
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 4/5
Prevalence: 10
Population Size: 54
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 5/5
Prevalence: 10
Population Size: 56
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 2/5
Prevalence: 11
Population Size: 48
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 3/5
Prevalence: 13
Population Size: 50
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 4/5
Prevalence: 16
Population Size: 51
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 5/5
Prevalence: 18
Population Size: 49
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.200 NA 0.251 NA 0.346
nodefactor.deg.4.1 NA 16.267 NA 0.832 NA 0.577
SD(Statistic)
triangle 0.561
nodefactor.deg.4.1 4.166
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.200 NA 0.251 NA 0.346
nodefactor.deg.4.1 NA 16.267 NA 0.832 NA 0.577
SD(Statistic)
triangle 0.561
nodefactor.deg.4.1 4.166
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 23.933 -4.267 0.726 -1.470 2.318
nodematch.race 10 9.267 -7.333 0.864 -0.848 0.987
SD(Statistic)
edges 4.621
nodematch.race 3.348
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 3.579 NA 0.313 NA 0.185
nodefactor.deg.2.2 NA 8.533 NA 1.004 NA 2.603
SD(Statistic)
mean.age 1.211
nodefactor.deg.2.2 3.889
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 20.600 NA 0.844 NA 1.970 3.269
degree1 NA 18.667 NA 0.430 NA 0.833 2.289
degree2 NA 8.733 NA 0.262 NA 2.023 2.658
degree3 NA 2.400 NA 0.375 NA 0.400 1.454
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 5
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 21.533 -13.867 1.929 -1.797 7.700
nodematch.race 10 9.933 -0.667 1.026 -0.065 3.408
nodefactor.deg.5.1 NA 19.733 NA 0.502 NA 2.723
SD(Statistic)
edges 7.472
nodematch.race 3.973
nodefactor.deg.5.1 2.865
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
Starting Network Simulation...<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 6/11
Prevalence: 18
Population Size: 52
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 7/11
Prevalence: 22
Population Size: 51
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 8/11
Prevalence: 21
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 9/11
Prevalence: 24
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 10/11
Prevalence: 24
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 1/3
Timestep: 11/11
Prevalence: 24
Population Size: 48
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 6/11
Prevalence: 12
Population Size: 56
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 7/11
Prevalence: 15
Population Size: 57
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 8/11
Prevalence: 16
Population Size: 56
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 9/11
Prevalence: 17
Population Size: 57
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 10/11
Prevalence: 21
Population Size: 60
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 2/3
Timestep: 11/11
Prevalence: 21
Population Size: 64
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 6/11
Prevalence: 21
Population Size: 47
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 7/11
Prevalence: 21
Population Size: 46
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 8/11
Prevalence: 21
Population Size: 44
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 9/11
Prevalence: 22
Population Size: 44
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 10/11
Prevalence: 24
Population Size: 43
----------------------------<0c>
Epidemic Simulation
----------------------------
Simulation: 3/3
Timestep: 11/11
Prevalence: 27
Population Size: 44
----------------------------EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.091 NA 0.116 NA 0.157
nodefactor.deg.4.1 NA 14.273 NA 0.596 NA 1.703
SD(Statistic)
triangle 0.384
nodefactor.deg.4.1 4.739
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
triangle NA 0.091 NA 0.116 NA 0.157
nodefactor.deg.4.1 NA 14.273 NA 0.596 NA 1.703
SD(Statistic)
triangle 0.384
nodefactor.deg.4.1 4.739
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 25.242 0.970 0.701 0.346 1.533
nodematch.race 10 10.212 2.121 0.249 0.853 1.514
SD(Statistic)
edges 5.202
nodematch.race 3.160
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
mean.age NA 5.588 NA 1.031 NA 0.448
nodefactor.deg.2.2 NA 7.485 NA 0.673 NA 1.241
SD(Statistic)
mean.age 2.245
nodefactor.deg.2.2 3.429
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
degree0 NA 19.424 NA 0.353 NA 1.560 3.700
degree1 NA 19.182 NA 0.356 NA 1.376 3.770
degree2 NA 8.818 NA 0.476 NA 0.636 2.732
degree3 NA 2.697 NA 0.233 NA 0.262 1.704
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
EpiModel Simulation
=======================
Model class: netsim
Simulation Summary
-----------------------
Model type: SI
No. simulations: 3
No. time steps: 11
No. NW groups: 1
Fixed Parameters
---------------------------
inf.prob = 0.3
act.rate = 0.1
a.rate = 0.03
ds.rate = 0.03
di.rate = 0.03
groups = 1
Model Output
-----------------------
Variables: s.num i.num num si.flow ds.flow di.flow a.flow
Networks: sim1 ... sim3
Transmissions: sim1 ... sim3
Formation Statistics
-----------------------
Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
edges 25 18.485 -26.061 2.535 -2.570 6.417
nodematch.race 10 8.727 -12.727 0.806 -1.578 2.993
nodefactor.deg.5.1 NA 19.000 NA 0.722 NA 3.364
SD(Statistic)
edges 6.847
nodematch.race 3.511
nodefactor.deg.5.1 3.666
Duration and Dissolution Statistics
-----------------------
Not available when:
- `control$tergmLite == TRUE`
- `control$save.network == FALSE`
- `control$save.diss.stats == FALSE`
- dissolution formula is not `~ offset(edges)`
- `keep.diss.stats == FALSE` (if merging)
[1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
[8] 1073741824
[1] 1.047619 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.071429
[1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
[8] 1073741824
[1] 1.000000 1.000000 1.000000 1.000000 1.038462 1.033333 1.000000 1.000000
[1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
[8] 1073741824
[1] 1.888889 2.846154 3.241379 4.103448 1.896552 2.720000 3.370370 4.107143
[1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
[8] 1073741824
[1] 1.909091 2.794118 3.586207 4.096774 1.933333 2.588235 2.947368 3.937500
Network Diagnostics
-----------------------
- Simulating 100 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 100 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 100 networks
Network Diagnostics
-----------------------
- Simulating 2 networks
|
Network Diagnostics
-----------------------
- Simulating 100 networks
Network Diagnostics
-----------------------
- Simulating 2 networks
|
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 10 networks
Network Diagnostics
-----------------------
- Simulating 2 networks
|
Network Diagnostics
-----------------------
- Simulating 10 networks
- Calculating formation statistics
Network Diagnostics
-----------------------
- Simulating 2 networks
|**|
- Calculating formation statistics[ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ]
══ Skipped tests (113) ═════════════════════════════════════════════════════════
• On CRAN (113): 'test-cumulative_edgelist.R:20:3',
'test-cumulative_edgelist.R:85:3', 'test-cumulative_edgelist.R:106:3',
'test-dcm-long.R:6:3', 'test-dcm-long.R:22:3', 'test-dcm-long.R:41:3',
'test-dcm-long.R:60:3', 'test-dcm-long.R:79:3', 'test-dcm-long.R:99:3',
'test-dcm-long.R:120:3', 'test-dcm-long.R:135:3', 'test-dcm-long.R:151:3',
'test-dcm-long.R:171:3', 'test-dcm-long.R:194:3', 'test-dcm-long.R:209:3',
'test-dcm-long.R:225:3', 'test-dcm-long.R:245:3', 'test-dcm-long.R:262:3',
'test-dcm-long.R:277:3', 'test-dcm-long.R:293:3', 'test-dcm-long.R:314:3',
'test-dcm-long.R:339:3', 'test-dcm-long.R:354:3', 'test-dcm-long.R:371:3',
'test-dcm-long.R:390:3', 'test-dcm-long.R:411:3', 'test-dcm-long.R:426:3',
'test-dcm-long.R:442:3', 'test-dcm-long.R:462:3', 'test-dcm-long.R:487:3',
'test-ergm.ego.R:6:3', 'test-icm-long.R:6:3', 'test-icm-long.R:30:3',
'test-icm-long.R:55:3', 'test-icm-long.R:79:3', 'test-icm-long.R:102:3',
'test-icm-long.R:127:3', 'test-icm-long.R:150:3', 'test-icm-long.R:174:3',
'test-icm-long.R:199:3', 'test-icm-long.R:229:3', 'test-icm-long.R:252:3',
'test-icm-long.R:275:3', 'test-icm-long.R:300:3', 'test-icm-long.R:324:3',
'test-icm-long.R:348:3', 'test-icm-long.R:372:3', 'test-icm-long.R:398:3',
'test-icm-long.R:427:3', 'test-icm-long.R:459:3', 'test-icm-long.R:483:3',
'test-icm-long.R:507:3', 'test-icm-long.R:530:3', 'test-icm-long.R:552:3',
'test-icm-long.R:575:3', 'test-icm-long.R:598:3', 'test-icm-long.R:622:3',
'test-icm-long.R:647:3', 'test-net-long.R:4:3', 'test-net-long.R:290:3',
'test-net-long.R:335:3', 'test-net-long.R:352:3', 'test-net-long.R:454:3',
'test-net-long.R:567:3', 'test-net-long.R:653:3', 'test-net-long.R:698:3',
'test-net-tergmLite.R:6:3', 'test-net-tergmLite.R:56:3',
'test-net-tergmLite.R:112:3', 'test-net-tergmLite.R:171:3',
'test-net-tergmLite.R:231:3', 'test-netattr.R:32:3', 'test-netattr.R:51:3',
'test-netattr.R:100:3', 'test-netattr.R:150:3', 'test-netattr.R:185:3',
'test-netattr.R:214:3', 'test-netdx.R:6:5', 'test-netdx.R:75:5',
'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5',
'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5',
'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5',
'test-netdx.R:314:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5',
'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5',
'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5',
'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5',
'test-netdx.R:314:5', 'test-netdx.R:365:3', 'test-netdx.R:388:3',
'test-netrestart.R:4:3', 'test-netrestart.R:36:3',
'test-netsim-parallel.R:4:3', 'test-netsim-parallel.R:23:3',
'test-netsim-parallel.R:42:3', 'test-netsim-parallel.R:60:3',
'test-networkLite.R:4:3', 'test-stergm.R:5:3', 'test-transmat-dendo.R:69:3',
'test-utils.R:93:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-get.R:90:3'): get_sims extracts simulations ────────────────────
Error in `xtfrm.data.frame(structure(list(sim1 = 1.66666666666667, sim2 = 3.33333333333333, sim3 = 1.66666666666667), row.names = 10L, class = "data.frame"))`: cannot xtfrm data frames
Backtrace:
▆
1. ├─testthat::expect_is(...) at test-get.R:90:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─EpiModel::get_sims(mod, sims = "mean", var = "i.num")
5. ├─base::xtfrm(`<df[,3]>`)
6. └─base::xtfrm.data.frame(`<df[,3]>`)
[ FAIL 1 | WARN 2 | SKIP 113 | PASS 2147 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 2.5.0
Check: installed package size
Result: NOTE
installed size is 5.1Mb
sub-directories of 1Mb or more:
doc 2.8Mb
Flavor: r-oldrel-windows-x86_64