6053ab419760196541ad8de81f79bbb5 *DESCRIPTION
3efd3a5348230f879e3bad1d333c9094 *NAMESPACE
9c1a20555bc7068e3873c53b1bd9dbaa *R/batch_analysis_fnxs.R
6d15d0cb8848a89ea394891f82224315 *R/d_estimation_fnxs.R
a6379005c92c568712d733bc651c2cc6 *R/fnxs_general.R
93a00eb99d485b5ebe12fe6cb739908a *R/model_fitting_functions.R
7395e0ff5e46bbe1cbc59f2cfd18486a *R/model_selection_functions.R
17cf77cc194a4d536e35f06b6c00ceb7 *R/simulate_data_fnxs.R
ff8b8eadab61ed6d28d02ce9646b7121 *build/vignette.rds
57612b564b4cd787545c15fe2de17130 *data/Chou.data.csv.gz
3a6e1851f885daceb90e9928e4057465 *data/Chou.data.rda
011fc9954727379d34b2b1e9f9ffcaa4 *data/Khan.data.csv.gz
936fec6d0052171fa5fe969dd7322b3e *data/Khan.data.rda
36714d030a1254e580fd17a15b3883b9 *data/burns.data.rda
d26f6068b7c5b3e9903545e4114eed38 *data/caudle.data.rda
a519f170e52617b2ef1f4d790c077182 *inst/doc/Stick-vignette.R
aad2a1d561563e947fb6bebd7f9bdf0b *inst/doc/Stick-vignette.Rmd
bb54109d8505ce63b108144e98a4c3ea *inst/doc/Stick-vignette.html
46ec8e6ef8768b382304da857401d4b9 *inst/extdata/Add_batch_out_3muts.txt
eeaaa727bbc84ddc5270854e78c3a97f *inst/extdata/Add_batch_out_test_3muts.txt
bacf6c27dac68f30435d11d988b8b3cd *inst/extdata/Add_batch_out_test_4muts.txt
b619846455826b95a517fe460ca41b6f *inst/extdata/Add_batch_out_test_5muts.txt
67ee556ad73abff47fd38c04fda0bb87 *inst/extdata/Mult_batch_out_test_3muts.txt
3b2d945abe3a92221c27c8e38c8f1381 *inst/extdata/Mult_batch_out_test_4muts.txt
16b9faed289a25954aa8f89a5d4cdff1 *inst/extdata/Mult_batch_out_test_5muts.txt
7e37210b735c3bd26e5f0c192a4d0564 *inst/extdata/Stick_batch_out_test_seq_3muts.txt
ea9f0bb58be8636c1622ca0d9b3ceec7 *inst/extdata/Stick_batch_out_test_seq_4muts.txt
06fa69d13b650f80488bc3063fb7dc09 *inst/extdata/Stick_batch_out_test_seq_5muts.txt
ddb40fb8202770945d4923d46e5fba31 *inst/extdata/Test_simulated_fit_data_4muts.txt
37187f924c17a2990761ac09cf40c500 *inst/extdata/Test_simulated_fit_data_4muts_wPosts.csv
2bfb13584ba328ceaba53b6f188a3202 *inst/extdata/Training_simulated_priors_fit_burns2_data.txt
34edd516499afde1c529c3c2170ffa96 *inst/extdata/Training_simulated_priors_fit_caudle_data.txt
a2fd7a7abf4e7527eb4864a02e0f6288 *inst/extdata/Training_simulated_priors_fit_data_3muts.txt
8a1fc38bbc11a16d8ae583aa55432d65 *inst/extdata/Training_simulated_priors_fit_data_4muts.txt
41f31d23a2f33c632e9cf622faa13ded *inst/extdata/Training_simulated_priors_fit_data_5muts.txt
bcffe940d8431d1869f543770ac55192 *inst/extdata/Training_simulated_priors_fit_data_first_last5muts.txt
c44cb4ebdda557ca1e250881b69d090c *inst/extdata/simulated_data_from_priors_Test.txt
263ecbdbdd27f1ed9f4b28054b2063da *inst/figures/Caudle_and_Burns_datafit_fig.pdf
3eea42453b688912977b8341f74c9c6a *inst/figures/Ex_fit_vs_effect_plot.svg
c429c83e9950c60d538e2776381c7d66 *inst/figures/Ex_pred_obs_fit.svg
a0634ff664520f1822761b3b898b7195 *inst/models/nnet_mod_R2_P_3muts.rda
2a33f823398d6a8ad77cce8399e19a34 *inst/models/nnet_mod_R2_P_4muts.rda
1f932fa701bde033c4e98177a3119233 *inst/models/nnet_mod_R2_P_5muts.rda
13ecd371af1b736c9d349ce979d3f73e *inst/models/nnet_mod_R2_P_5muts_first_last_5muts.rda
e8082d4e4f4eac4db0f728aeb6db9ba9 *inst/models/nnet_mod_R2_P_burns2.rda
7262a6558d8cfe6e95916799e3b3f062 *inst/models/nnet_mod_R2_P_caudle.rda
33591efc5fd5fa65ed8859f2aaf7fe9f *man/Chou.data.Rd
0a9191a900d6469b1ef997685aed9d6d *man/Khan.data.Rd
2f0325c3ce903db960280f196f98b643 *man/analyze.mult.add.data.batch.Rd
5a837cec79106041550cfcb5bdaaf287 *man/analyze.stick.data.batch.Rd
47dd5aca0f867fa27ea6d6f7fea7fbb7 *man/burns.data.Rd
96a8c4197558a90ba099d400d0540f9a *man/calc.stick.logLn.Rd
065707c2b159ffddbfe11563352fda09 *man/calculate.posteriors.for.datasets.Rd
b5a1228d8737ffdefc7039ce62f2cca1 *man/caudle.data.Rd
1a40bb3ebef5d872953896428a83d367 *man/estimate.d.MLE.Rd
2550740e08730b8799f914ff96b63d00 *man/estimate.d.RDB.Rd
6a10c25dc9bbca28c1108b4e57a7adf9 *man/estimate.d.sequential.Rd
c20c9907d238f901aa00b89465ba7a1f *man/fit.add.model.Rd
baf283859a81e0e0e1f0cd656e60e93d *man/fit.models.Rd
3fa63d1744148807f993ddd0d4219b7a *man/fit.mult.model.Rd
1b96f1f73738a70e2872b27cbc1969b1 *man/fit.nnet.multinomial.regression.Rd
ec590de916e988f120c6a36b75204723 *man/fit.stick.model.given.d.Rd
960065cbdbc517466f8484f754295266 *man/generate.geno.matrix.Rd
b2ca0381ea82d90e4832e3e64b86ea2b *man/generate.geno.weight.matrix.Rd
2dc76ec0b580f86cde1f0905ec29009a *man/regress.back.fitness.vs.effect.Rd
b854372413b90c77c8e252229196eb48 *man/sim.add.data.Rd
8aae6cd4f5fa197d8a1073027cb49359 *man/sim.data.calculate.posteriors.Rd
0c043b9f2c7b585a3c97e91ad91f52bc *man/sim.data.for.mod.selection.Rd
ff7bd3143d70847f14daa21a7d06a3dd *man/sim.data.from.priors.for.mod.selection.Rd
6f3d11fed3511c3c0b0d4a1c7607c193 *man/sim.fit.mult.add.data.batch.Rd
a39fb095ce8b5158acd22e74a4df0ee0 *man/sim.fit.stick.data.batch.Rd
15f11e7e61cd619b5ceb584acfbbc210 *man/sim.mult.data.Rd
39eae9cc9ed2e05471f0f576b131c492 *man/sim.partial.data.from.priors.for.mod.selection.Rd
41a128ca1599e9424c65cd4a0c05f629 *man/sim.stick.data.Rd
1eed3671517778ace8ffd9683dedbf02 *man/summarize.fits.for.posterior.calc.Rd
775823eed5807b891cc4c13717e82e48 *man/summarize.posteriors.on.simulated.dataset.Rd
aad2a1d561563e947fb6bebd7f9bdf0b *vignettes/Stick-vignette.Rmd
