| enmpa {enmpa} | R Documentation |
enmpa: Ecological Niche Modeling using Presence-Absence Data
Description
enmpa contains a set of tools to perform detailed Ecological Niche Modeling
using presence-absence data.
Details
It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore model features as such variable response curves and variable importance.
Main functions in enmpa
calibration_glm, evaluation_stats,
fit_glms, fit_selected,
get_formulas, independent_eval1,
kfold_partition, model_selection
model_validation, niche_signal,
optimize_metrics, predict_glm,
predict_selected, response_curve,
var_importance
Author(s)
Maintainer: Luis F. Arias-Giraldo lfarias.giraldo@gmail.com (ORCID)
Authors:
Marlon E. Cobos manubio13@gmail.com (ORCID)
Other contributors:
A. Townsend Peterson town@ku.edu (ORCID) [contributor]
See Also
Useful links: