Ecological Niche Modeling using Presence-Absence Data
Overview
A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) doi:10.17161/bi.v17i.15985, Cobos et al., (2019) doi:10.7717/peerj.6281, and Peterson et al., (2008) doi:10.1016/j.ecolmodel.2007.11.008.
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- **Bug fixed**:
- Fixed: Bug in response curves with fitted models with one variable.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 29includes a package overview page
- Examples that run
- 100%23 run in a plain check
- Exported functions with examples
- 86%
- Documented parameters
- 100%
- Return-value docs
- 95%
- Help pages citing references
- 0%
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- 50
- Median days to close, 50 most recently updated closed PRs
- 1
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Dependencies
Installing enmpa adds 9 packages (3 with compiled code, 5.4 MB of source tarballs). Heaviest: Rcpp 1.8 MB, terra 1.5 MB, vegan 1.4 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-12-01
- Total releases
- 9 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 603 KB / 4 files
- Download size
- 2.7 MB
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