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S4DM: Small Sample Size Species Distribution Modeling
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 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>.
| Version: |
0.0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
corpcor, densratio, flexclust, geometry, kernlab, maxnet, mvtnorm, np, pROC, robust, rvinecopulib, sf, terra, dplyr, Rdpack |
| Suggests: |
geodata, BIEN, ggplot2, tidyterra, knitr, testthat, rmarkdown |
| Published: |
2025-01-10 |
| DOI: |
10.32614/CRAN.package.S4DM |
| Author: |
Brian S. Maitner 
[aut, cre],
Robert L. Richards [aut],
Ben S. Carlson [aut],
John M. Drake [aut],
Cory Merow [aut] |
| Maintainer: |
Brian S. Maitner <bmaitner at usf.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
S4DM results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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