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enmpa  

Ecological Niche Modeling using Presence-Absence Data
View on CRAN: Click here


Download and install enmpa package within the R console
Install from CRAN:
install.packages("enmpa")

Install from Github:
library("remotes")
install_github("cran/enmpa")

Install by package version:
library("remotes")
install_version("enmpa", "0.2.2")



Attach the package and use:
library("enmpa")
Maintained by
Luis F. Arias-Giraldo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-01
Latest Update: 2025-06-12
Description:
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) , Cobos et al., (2019) , and Peterson et al., (2008) .
How to cite:
Luis F. Arias-Giraldo (2023). enmpa: Ecological Niche Modeling using Presence-Absence Data. R package version 0.2.2, https://cran.r-project.org/web/packages/enmpa. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.5 (2023-12-01 16:00), 0.1.8 (2024-06-19 16:10), 0.1.9 (2024-12-20 14:10), 0.2.0 (2025-04-29 20:10), 0.2.1 (2025-06-12 23:30), 0.2.2 (2025-12-14 19:00)
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Complete documentation for enmpa
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