Small Sample Size Species Distribution Modeling R package S4DM version 0.0.2 Implements a set of distribution modeling methods that are suited to species with small sample sizes (e.g., poorly sampled species or rare species). While these methods can also be used on well-sampled taxa, they are united by the fact that they can be utilized with relatively few data points. More details on the currently implemented methodologies can be found in Maitner et al. (2026) <doi:10.1002/ecog.08112>, Drake and Richards (2018) <doi:10.1002/ecs2.2373>, Drake (2015) <doi:10.1098/rsif.2015.0086>, and Drake (2014) <doi:10.1890/ES13-00202.1>. Software Depends: R (>= 4.1.0) Imports: corpcor, densratio (>= 0.3.1), flexclust, geometry, kernlab, maxnet, mvtnorm, np, pROC, robust, rvinecopulib, sf, terra, dplyr, Rdpack Suggests: geodata, BIEN, ggplot2, tidyterra, knitr, testthat, rmarkdown Brian S. Maitner <bmaitner@usf.edu> Comprehensive R Archive Network (CRAN) Brian S. Maitner [aut, cre] (ORCID: <https://orcid.org/0000-0002-2118-9880>), Robert L. Richards [aut], Ben S. Carlson [aut], John M. Drake [aut], Cory Merow [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=S4DM/LICENSE) 2026-05-11 application/tgz https://CRAN.R-project.org/package=S4DM doi:10.32614/CRAN.package.S4DM