Small Sample Size Species Distribution Modeling
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-17
- ERROR11 NOTE, 2 ERROR2026-05-07
- NOTE12 NOTE2026-04-27
- ERROR3 OK, 10 NOTE, 1 ERROR2026-03-10
Documentation
- Help pages
- 27 (13 internal)
- Examples that run
- 70%7 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 83%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 22% with a bibliography file
- S4DM R package HTML
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 0.0.2Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.0.12025-01-10
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-01-10
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 1.1 KB / 1 file
- Download size
- 169 KB
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