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>.

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Package details

AuthorLuis F. Arias-Giraldo [aut, cre] (<https://orcid.org/0000-0003-4861-8064>), Marlon E. Cobos [aut] (<https://orcid.org/0000-0002-2611-1767>), A. Townsend Peterson [ctb] (<https://orcid.org/0000-0003-0243-2379>)
MaintainerLuis F. Arias-Giraldo <lfarias.giraldo@gmail.com>
LicenseGPL (>= 3)
URL https://github.com/Luisagi/enmpa
Package repositoryView on CRAN
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enmpa documentation built on June 22, 2024, 9:59 a.m.