multiScaleR 0.6.13
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* Added a Windows R-devel compatibility shim for Rcpp header compilation

multiScaleR 0.6.12
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* Forced C++17 compilation for compatibility with CRAN Windows R-devel checks

multiScaleR 0.6.11
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* Fixed PSOCK optimization for unqualified model calls such as `glm.nb()` after `library(MASS)`

multiScaleR 0.6.10
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* Preserved original sparse kernel dot-product behavior for complete raster layers
* Preserved point row identities across `kernel_prep()` outputs used during optimization
* Ensured PSOCK workers use the same multiScaleR code as the main R session
* Fixed complete-case row alignment when fitted model frames retain original row names

multiScaleR 0.6.8
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* Added linear and user-specified sigma grids to `profile_sigma()`

multiScaleR 0.6.7
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* Fixed singular-Hessian fallback SE values to remain numeric
* Excluded missing raster cells from sparse kernel weighted averages

multiScaleR 0.6.6
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* Added an optional custom refit hook for model classes that cannot use default model updates
* Improved internal model refitting and log-likelihood dispatch for broader model support

multiScaleR 0.6.5
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* Added structured optimization diagnostics and a `diagnostics()` accessor
* Fixed complete-case alignment in multiscale optimization inputs
* Updated vignettes and restored `multiScale_optim()` export handling

multiScaleR 0.6.4
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* Added sigma profiling and plot methods
* Expanded plotting tests and updated vignettes
* Streamlined GitHub Actions checks on direct pushes

multiScaleR 0.6.3
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* Made profile-likelihood CIs optional in `summary`
* Updated vignettes and compressed example data

multiScaleR 0.6.2
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* Expanded test coverage
* Improved error messaging

multiScaleR 0.6.1
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* Fixed test error

multiScaleR 0.6.0
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* Added unit testing

multiScaleR 0.5.0
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* Updated handling of edge and NA values in `kernel_scale.raster`
* Updated `kernel_scale.raster` to create 'dummy' layers for site effect variables
* Added vignette on spatial projections
* Submitted to CRAN

multiScaleR 0.4.6
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* Updated handling of mixed effects models
* Updated error handling

multiScaleR 0.4.5
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* Added `verbose` argument to functions to optionally supress console printing
* Made updates for CRAN checks

multiScaleR 0.4.4
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* Updated `kernel_scale.raster` documentation and clamping defaults

multiScaleR 0.4.3
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* Updated handling of zero-infalted models in `plot_marginal_effects`

multiScaleR 0.4.2
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* Update dependencies to pass CRAN checks
* Added hex sticker
* Added `rhub.yaml`
* Updated to pass CRAN checks

multiScaleR 0.4.1-2
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* Updated vignette to demonstrate fitting of zero-inflated model

multiScaleR 0.4.1-1
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* Updated `aic_tab` and `bic_tab` to properly check model types.
* Fixed bug in `kernel_scale.raster`

multiScaleR 0.4.1-0
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* Updated calculation of cumulative distance
* Added marginal effects plot function `plot_marginal_effect`
* Updated `kernel_scale.raster`

multiScaleR 0.4.0-1
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* Updated `sim_rast` for efficiency. Uses custom fft

multiScaleR 0.4.0-0
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* 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
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* Updates to better generalize across model classes

multiScaleR 0.3.1-3
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* Updated parallel processing handling to generalize use across model classes

multiScaleR 0.3.1-2
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* 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
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* Fixed bug in raster smoothing
* Added na.rm argument

multiScaleR 0.3.1-0
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* Implemented fft smoothing of rasters
* Removed NLMR and RandomFields dependencies

multiScaleR 0.3.0-5
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* Fixed bug causing optimization failure if only a single spatial covariate was used.

multiScaleR 0.3.0-4
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* Updated documentation and created a PSOCK variable to force PSOCK cluster when using unix

multiScaleR 0.3.0-3
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* 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
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* Uses sparse matrices for reduced memory demands

multiScaleR 0.3.0-1
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* Updated kernel density functions to c++ for speed

multiScaleR 0.2.0-8
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* Updated parallelization to use forking when operating on a Unix OS
* Updated DESCRIPTION file to reflect necessary dependencies

multiScaleR 0.2.0-7
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* Updated simulation function to create repeat sampling data
* Updated vignette to demonstrate use of `multiScaleR` with `unmarked`.

multiScaleR 0.2.0-6
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* Bug fixes
* Added 'join_by' command when optimizing `unmarked` models with stacked data formats

multiScaleR 0.2.0-3
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* Updated error handling across core functions

multiScaleR 0.2.0-2
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* Fixed bug preventing optimization using unmarked models

multiScaleR 0.2.0-1
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* Modified formatting of vignette document

multiScaleR 0.2.0
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* 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
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* 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
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* Cleaned code
* Added documentation and examples to `multiScale_optim`

multiScaleR 0.1.3
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* Corrected issue with distance weighting function
* Updated how parameters are scaled

multiScaleR 0.1.2
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* Fixed bug in optimization function


multiScaleR 0.1.1
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* Fixed trap that was causing optimization with 'fixed' and 'expow' to fail
* Updated plot and kernel_dist functions


multiScaleR 0.1.0
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* Initial commit. Bugs and issues present, needed for class
