Package: S4DM Title: Small Sample Size Species Distribution Modeling Version: 0.0.3 Authors@R: c( person(given = "Brian S.", family = "Maitner", role = c("aut", "cre"), email = "bmaitner@usf.edu", comment = c(ORCID = "https://orcid.org/0000-0002-2118-9880")), person(given = "Robert L.", family = "Richards", role = c("aut"), email = "r.richards@gatech.edu"), person(given = "Ben S.", family = "Carlson", role = c("aut"), email = "ben.s.carlson@gmail.com"), person(given = "John M.", family = "Drake", role = c("aut"), email = "john@drakeresearchlab.com"), person(given = "Cory", family = "Merow", role = c("aut"), email = "cory.merow@gmail.com") ) Description: 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) , Drake and Richards (2018) , Drake (2015) , and Drake (2014) . Depends: R (>= 4.1.0) License: MIT + file LICENSE Encoding: UTF-8 LazyData: true VignetteBuilder: knitr Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 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 RdMacros: Rdpack Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev make libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://bmaitner.r-universe.dev Date/Publication: 2026-05-11 13:41:37 UTC RemoteUrl: https://github.com/bmaitner/s4dm RemoteRef: HEAD RemoteSha: 0522870c53d59c4ff1522ded29a053f7ce26c502 NeedsCompilation: no Packaged: 2026-06-10 06:26:13 UTC; root Author: Brian S. Maitner [aut, cre] (ORCID: ), Robert L. Richards [aut], Ben S. Carlson [aut], John M. Drake [aut], Cory Merow [aut] Maintainer: Brian S. Maitner