multiScaleR 0.4.5 --------- * Added `verbose` argument to functions to optionally supress console printing * Made updates for CRAN checks multiScaleR 0.4.4 --------- * Updated `kernel_scale.raster` documentation and clamping defaults multiScaleR 0.4.3 --------- * Updated handling of zero-infalted models in `plot_marginal_effects` multiScaleR 0.4.2 --------- * Update dependencies to pass CRAN checks * Added hex sticker * Added `rhub.yaml` * Updated to pass CRAN checks multiScaleR 0.4.1-2 --------- * Updated vignette to demonstrate fitting of zero-inflated model multiScaleR 0.4.1-1 --------- * Updated `aic_tab` and `bic_tab` to properly check model types. * Fixed bug in `kernel_scale.raster` multiScaleR 0.4.1-0 --------- * Updated calculation of cumulative distance * Added marginal effects plot function `plot_marginal_effect` * Updated `kernel_scale.raster` multiScaleR 0.4.0-1 --------- * Updated `sim_rast` for efficiency. Uses custom fft multiScaleR 0.4.0-0 --------- * Incorporated scaling & centering `kernel_scale.raster` * `scale_opt` is now deprecated in `kernel_scale.raster`; replaced with `multiScaleR` argument. * Updated package data file structure * Passes CRAN checks multiScaleR 0.3.1-4 --------- * Updates to better generalize across model classes multiScaleR 0.3.1-3 --------- * Updated parallel processing handling to generalize use across model classes multiScaleR 0.3.1-2 --------- * Updated default `pct_wt` from 0.95 to 0.975 when smoothing raster layers * Fixed kernel_scale.raster error handling multiScaleR 0.3.1-1 --------- * Fixed bug in raster smoothing * Added na.rm argument multiScaleR 0.3.1-0 --------- * Implemented fft smoothing of rasters * Removed NLMR and RandomFields dependencies multiScaleR 0.3.0-5 --------- * Fixed bug causing optimization failure if only a single spatial covariate was used. multiScaleR 0.3.0-4 --------- * Updated documentation and created a PSOCK variable to force PSOCK cluster when using unix multiScaleR 0.3.0-3 --------- * Updated variable checks of `multiScale_optim` * Removed use of `method` and `opt_parallel` variables. Method is always 'L-BFGS-B` and if cores > 1 is specified, parallelization is implicit. multiScaleR 0.3.0-2 --------- * Uses sparse matrices for reduced memory demands multiScaleR 0.3.0-1 --------- * Updated kernel density functions to c++ for speed multiScaleR 0.2.0-8 --------- * Updated parallelization to use forking when operating on a Unix OS * Updated DESCRIPTION file to reflect necessary dependencies multiScaleR 0.2.0-7 --------- * Updated simulation function to create repeat sampling data * Updated vignette to demonstrate use of `multiScaleR` with `unmarked`. multiScaleR 0.2.0-6 --------- * Bug fixes * Added 'join_by' command when optimizing `unmarked` models with stacked data formats multiScaleR 0.2.0-3 --------- * Updated error handling across core functions multiScaleR 0.2.0-2 --------- * Fixed bug preventing optimization using unmarked models multiScaleR 0.2.0-1 --------- * Modified formatting of vignette document multiScaleR 0.2.0 --------- * Modified `multiScaleR_optim` to reduce size of final optimized object. * Completed vignette: use 'build_vignettes = TRUE' when installing * Updated code to accomodate lme4 and other model classes supported by `insight` package. multiScaleR 0.1.5 --------- * Updated plot function to show 95% confidence interval of scale of effect distance * Updated summary function to report mean and 95% scale of effect distance * Updated example data included with package to demonstrate more extensive use of package * Future addition -- A vignette demonstrating the use of the package multiScaleR 0.1.4 --------- * Cleaned code * Added documentation and examples to `multiScale_optim` multiScaleR 0.1.3 --------- * Corrected issue with distance weighting function * Updated how parameters are scaled multiScaleR 0.1.2 --------- * Fixed bug in optimization function multiScaleR 0.1.1 --------- * Fixed trap that was causing optimization with 'fixed' and 'expow' to fail * Updated plot and kernel_dist functions multiScaleR 0.1.0 --------- * Initial commit. Bugs and issues present, needed for class