enmpa: Ecological Niche Modeling using Presence-Absence Data
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>.
| Version: |
0.1.5 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
doSNOW, ellipse, foreach, graphics, methods, mgcv, parallel, Rcpp, snow, stats, terra, utils, vegan |
| LinkingTo: |
Rcpp |
| Published: |
2023-12-01 |
| Author: |
Luis F. Arias-Giraldo
 [aut, cre],
Marlon E. Cobos
[aut],
A. Townsend Peterson
[aut] |
| Maintainer: |
Luis F. Arias-Giraldo <lfarias.giraldo at gmail.com> |
| BugReports: |
https://github.com/Luisagi/enmpa/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/Luisagi/enmpa |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
enmpa results |
Documentation:
Downloads:
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