Package: chooseGCM 1.3

chooseGCM: Selecting General Circulation Models for Species Distribution Modeling

Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs as proposed in Esser et al. (2025) <doi:10.1111/gcb.70008>.

Authors:Dayani Bailly [aut], Reginaldo Ré [aut], Marcos R. Lima [aut], Luíz Esser [aut, cre, cph]

chooseGCM_1.3.tar.gz
chooseGCM_1.3.zip(r-4.7)chooseGCM_1.3.zip(r-4.6)chooseGCM_1.3.zip(r-4.5)
chooseGCM_1.3.tgz(r-4.6-any)chooseGCM_1.3.tgz(r-4.5-any)
chooseGCM_1.3.tar.gz(r-4.7-any)chooseGCM_1.3.tar.gz(r-4.6-any)
chooseGCM_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
chooseGCM/json (API)
NEWS

# Install 'chooseGCM' in R:

install.packages('chooseGCM', repos = c('https://luizesser.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/luizesser/choosegcm/issues

Pkgdown/docs site:https://luizesser.github.io

On CRAN:

5.23 score 16 stars 4 scripts 591 downloads 14 exports 129 dependencies

Last updated from:0d96124e0c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	493
source / vignettes	OK	262
linux-release-x86_64	OK	355
macos-release-arm64	OK	226
macos-oldrel-arm64	OK	218
windows-devel	OK	321
windows-release	OK	389
windows-oldrel	OK	317
wasm-release	OK	157

Exports:closestdist_gcms compare_gcms cor_gcms dist_gcms env_gcms flatten_gcms hclust_gcms import_gcms kmeans_gcms montecarlo_gcms optk_gcms summary_gcms transform_gcms WorldClim_data

Dependencies:abind askpass backports base64enc boot broom bslib cachem car carData checkmate cli cluster colorspace corrplot cowplot cpp11 crosstalk curl dendextend Deriv digest doBy dplyr DT ellipse emmeans estimability evaluate factoextra FactoMineR farver fastmap flashClust fontawesome forecast Formula fracdiff fs generics ggcorrplot ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable highr htmltools htmlwidgets httr2 isoband jquerylib jsonlite knitr labeling later lattice lazyeval leaps lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr multcompView mvtnorm nlme nloptr nnet numDeriv openssl otel pbkrtest pillar pkgconfig plyr polynom promises purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas reshape2 rlang rmarkdown rstatix S7 sass scales scatterplot3d SparseM stringi stringr survival sys terra tibble tidyr tidyselect timeDate tinytex urca usedist utf8 vctrs viridis viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Distance between General Circulation Models (GCMs)	closestdist_gcms
Compare General Circulation Models (GCMs)	compare_gcms
Compute and Plot Correlation Matrix for a Set of General Circulation Models	cor_gcms
Distance Between GCMs	dist_gcms
General Circulation Model (GCM) Environmental Distribution	env_gcms
Flatten General Circulation Models (GCMs)	flatten_gcms
Hierarchical Clustering of GCMs	hclust_gcms
Import GCM Data to R	import_gcms
Perform K-Means Clustering on GCMs	kmeans_gcms
Perform Monte Carlo Permutations on GCMs	montecarlo_gcms
Optimize the number of clusters for a dataset	optk_gcms
Summarize General Circulation Model (GCM) Data	summary_gcms
Transform General Circulation Model (GCM) Stacks	transform_gcms
Download WorldClim v.2.1 bioclimatic data	WorldClim_data