Methods for Optimizing Scales of Effect


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Documentation for package ‘multiScaleR’ version 0.4.5

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multiScaleR-package multiScaleR
aic_tab multiScaleR model selection
bic_tab multiScaleR model selection
count_data Example data frame
hab Example raster
kernel_dist Scale Distance
kernel_prep Kernel Scale Preparation
kernel_scale.raster Create scaled rasters
landscape Simulated raster
landscape_counts Example data frame
multiScaleR multiScaleR
multiScale_optim Multiscale optimization
plot.multiScaleR Plot method for multiScaleR objects
plot_kernel Plot kernel densities
plot_marginal_effects Plot Marginal Effects from a Fitted Model
print.multiScaleR Print method for multiScaleR
print.multiScaleR_data Print method for multiScaleR_data
print.summary_multiScaleR Print method for summary_multiScaleR
pts Spatial sample points
sim_dat Simulate data for optimizing scales of effect
sim_dat_unmarked Simulate data for optimizing scales of effect with 'unmarked'
sim_rast Function to simulate raster surfaces
summary.multiScaleR Summarize multiScaleR objects
surv_pts Spatial sample points