flexsdm 1.4.0

map_env_dist: C++ function to calculate Euclidean and Mahalanobis distance was implemented, by @sjevelazco 463
extra_eval: C++ function to calculate Euclidean and Mahalanobis distance was implemented, by @sjevelazco 463
fit_dom: C++ function to calculate gower distance was optimized, by @sjevelazco 463
map_env_dist: C++ function to calculate gower distance was optimized, by @sjevelazco 463
msdm_posteriori: a new argument that assumes unsuitable cells with presences as patches. This is only used in the 'lq' approach, by @sjevelazco 461
sdm_eval: Boyce metric was readapted based on enmSdmX package, by @sjevelazco 457
msdm_posteriori: now car return semi-binary suitability maps, by @sjevelazco 455
part_senv: new argument to use or not presences-absences coordinate to perform environmental partition, by @sjevelazco 445

flexsdm 1.3.9

map_env_dist was improved. Now it is possible to calculate Euclidean and Mahalanobis distances in addition to the Gower distance (Domain algorithm), by @sjevelazco.
sdm_eval() now calculates three additional performance metrics: the Matthews Correlation Coefficient (MCC). the Continuous Ranked Probability Score (CRPS), and a prevalence-weighted average of TPR and TNR (W_TPR_TNR), by @sjevelazco 445.
fit_gbm() and tune_gbm() were improved to prevent the argument is of length zero error. This was achieved by adding a safeguard that dynamically adjusts n.minobsinnode based on the size of the training data partition, ensuring it remains valid for the gbm algorithm, by @sjevelazco 445.
sdm_uncertainty This new function calculates species distribution model uncertainty using a bootstrap procedure, by @sjevelazco #442
fit_ functions now can handle partition = NULL, by @sjevelazco #442
A new vignette demonstrating how to model several species and periods of time was added by @mrose048 @sjevelazco @iminoli-dev 438

fit_, tune_, esm_ and fit_ensemble functions now return a performance table for each partition and replicate (performance_part), by @sjevelazco #432 and 434
p_pdp was improved to depict exactly training range values when projection data are used, by @sjevelazco #429
sample_pseudoabs a sample approach was implemented based on environmental K-means, by @sjevelazco #410
sample_pseudoabs K-means step was improved for the geoenv_const_kmeans approach, by @sjevelazco #410
p_extra Now can handle binary maps to plot suitability or extrapolation values in the geographical or environmental space, by @sjevelazco 418
map_env_dist This new function calculates environmental distance between presences and projection data. Only the nearest Gower distance was implemented (Domain algorithm), by @sjevelazco 419
fit_dom This is a new function to fit and validate the Domain algorithm, by @sjevelazco

occfilt_geo adapted to test different values for the three methods by @sjevelazco in 386
occfilt_env now can filter with several bins by @sjevelazco in 388
occfilt_select was created and a test protocol was written by @sjevelazco in 389
occfit_select included in vignette and website by @sjevelazco in 390
mean change in sdm_predict to handle 0 weight value for weighted mean by @sjevelazco in 391
documentation of occfilt_select was improved by @sjevelazco in 392
It is possible to tune ntree hyperparameter of random forest algorithm by @sjevelazco in 393
correct_colinvar can be used with species points by @sjevelazco in 394
Update pkg_citation.md by @mrose048 in 396
sdm_varimp was added and tested by @mrose048 and @sjevelazco in 399
min change in warning message calib_area by @sjevelazco in 400

min change in interp function by @sjevelazco in 362
min change in occfilt_geo by @sjevelazco in 364
Rlof was removed from dependencies by @sjevelazco in 365
min change in occfilt_geo by @sjevelazco in 370
new argument in occfilt_geo by @sjevelazco in 371
esm_ functions were improved by @sjevelazco in 373 & 373
geographically constraint cell of env_var argument in correct_colinvar by @sjevelazco in 374
new argument in correct_colinvar by @sjevelazco in 375
calib_area was sped up by @sjevelazco in 377
correct_colivar was fixed and improved, FA method by @sjevelazco in 383
occfilt_geo 'defined' method was fixed by @sjevelazco in 384

it is possible to restrict the cell used to perform collinearity reduction analysis to a geographical area smaller than the full extent of environmental variables in correct_clinvar()
esm_ family function was improved and debugged
occfilt_geo has a new argument "rep" to control number o repetition to filter occurrences

rgeos was removed from dependencies #356
New vignette about how use different tools to explore model extrapolation and truncate models was added #352
Univariate and combinatorial extrapolation metric added to extra_eval.
Minor bugs were fixed to project PCA for other time periods #351
Best grid raster names was changed to .part in part_sblock and part_sband
Improvements in correct_colinvar to speed up function when using maxcell argument
Improvements in correct_colinvar to project PCA for other time periods

Improvements in correct_colinvar It is now possible to sample rasters to reduce machine memory and speed up the process
Improvements in sdm_predict It is possible predict model in chunks to reduce machine memory
p_extra, p_pdp, and p_bpdp were fixed
New function p_bpdp Bivariate Partial Dependent Plot
New function data_bpdp Calculate data to construct bivariate partial dependence plots
Improvements in p_dpd Calculate data to construct partial dependence plots

New function p_extra Graphical exploration of extrapolation or suitability pattern in the environmental and geographical space
New function p_pdp Partial Dependent Plot
New function data_pdp Calculate data to construct partial dependence plots

New argument "crs" added to function msdm_posteriori
New argument "sp_name" in sample_background and sample_pseudoabs
raster, flexclust, ape, and sp were removed from dependencies\
Functions using CRS data have improved codes
It is possible use a numeric value to specify threshold in msdm_posteriori
extra_eval can use tibble or SpatRaster object in env_calib argument
extra_truncate has a new argument to define values used for model truncation and documentation was improved. #