| 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 |