<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Ensemble Platform for Species Distribution Modeling</dc:title>
  <dc:title>R package biomod2 version 4.3-4-6</dc:title>
  <dc:description>Functions for species distribution modeling, calibration and evaluation, 
  ensemble of models, ensemble forecasting and visualization. The package permits to run
  consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences)
  dataset and to combine them in ensemble models and ensemble projections. Some bench of other 
  evaluation and visualisation tools are also available within the package.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1)</dc:relation>
  <dc:relation>Imports: stats, utils, methods, terra (&gt;= 1.6-33), sp, reshape,
reshape2, abind, foreach, ggplot2, gbm (&gt;= 2.1.3), rpart, MASS,
pROC (&gt;= 1.15.0), PresenceAbsence, dplyr, rlang, scales</dc:relation>
  <dc:relation>Suggests: Hmisc, gam, mgcv, earth, maxnet, mda, nnet, randomForest,
xgboost (&gt;= 3.1.3.1), cito, torch, car, caret, dismo, ENMeval,
doParallel, raster, ggpubr, testthat, knitr, markdown,
rmarkdown, tidyterra, ggtext, patchwork, kableExtra, DT,
R.utils, paletteer, viridis</dc:relation>
  <dc:creator>Maya Guéguen &lt;maya.gueguen@univ-grenoble-alpes.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Maya Guéguen [aut, cre],
  Hélène Blancheteau [aut],
  Rémi Lemaire-Patin [aut],
  Wilfried Thuiller [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-05-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=biomod2</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.biomod2</dc:identifier>
</oai_dc:dc>
