Package: chooseGCM 1.0.1
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.
Authors:
chooseGCM_1.0.1.tar.gz
chooseGCM_1.0.1.zip(r-4.5)chooseGCM_1.0.1.zip(r-4.4)chooseGCM_1.0.1.zip(r-4.3)
chooseGCM_1.0.1.tgz(r-4.4-any)chooseGCM_1.0.1.tgz(r-4.3-any)
chooseGCM_1.0.1.tar.gz(r-4.5-noble)chooseGCM_1.0.1.tar.gz(r-4.4-noble)
chooseGCM_1.0.1.tgz(r-4.4-emscripten)chooseGCM_1.0.1.tgz(r-4.3-emscripten)
chooseGCM.pdf |chooseGCM.html✨
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
Last updated 17 hours agofrom:9045af580f. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
| R-4.4-win | NOTE | Nov 22 2024 |
| R-4.4-mac | NOTE | Nov 22 2024 |
| R-4.3-win | OK | Nov 22 2024 |
| R-4.3-mac | OK | Nov 22 2024 |
Exports:closestdist_gcmscompare_gcmscor_gcmsdist_gcmsenv_gcmsflatten_gcmshclust_gcmsimport_gcmskmeans_gcmsmontecarlo_gcmsoptk_gcmssummary_gcmstransform_gcmsworldclim_data
Dependencies:abindaskpassbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercolorspacecorrplotcowplotcpp11crosstalkcurldendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggcorrplotggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplyrpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrstatixsassscalesscatterplot3dSparseMstringistringrsurvivalsysterratibbletidyrtidyselecttinytexusedistutf8vctrsviridisviridisLitewithrxfunyaml
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 v2.1 Bioclimatic Data | worldclim_data |
