Man pages for enmpa
Ecological Niche Modeling using Presence-Absence Data

calibration_glmGLM calibration with presence-absence data
cal_resExample of results obtained from GLM calibration using enmpa
enm_dataExample data used to run model calibration exercises
enmpaenmpa: Ecological Niche Modeling using Presence-Absence Data
enmpa_calibrationConstructor of S3 objects of class enmpa_calibration
enmpa_fitted_modelsConstructor of S3 objects of class enmpa_fitted_models
evaluation_statsSummary of evaluation statistics for candidate models
fit_glmsFitting selected GLMs models
get_formulasGet GLM formulas according to defined response types
independent_evalEvaluate final models using independent data
jackknifeJackkniffe test for variable contribution
kfold_partitionK-fold data partitioning
model_selectionSelection of best candidate models considering various...
model_validationModel validation options
niche_signalNiche Signal detection using one or multiple variables
optimize_metricsFind threshold values to produce three optimal metrics
plot_importancePlot variable importance
plot_jkJackkniffe plot for variable contribution
plot_niche_signalPlot Niche Signal results
predict_glmExtension of glm predict to generate predictions of different...
predict_selectedPredictions for the models selected after calibration
printPrint a short version of elements in 'calibration' and...
proc_enmPartial ROC calculation
resp2varTwo-Way interaction response plot
response_curveVariable response curves for GLMs
sel_fitExample of selected models fitted
summarySummary of 'calibration' and 'fitted models'
testExample data used to test models
var_importanceVariable importance for GLMs
enmpa documentation built on June 13, 2025, 1:10 a.m.