getPerformance: Get model performance

In ecotrends: Temporal Trends in Ecological Niche Models

Get model performance

Description

Get model performance

Usage

getPerformance(
  rasts,
  mods,
  metrics = c("AUC", "TSS", "kappa"),
  plot = FALSE,
  verbosity = 2
)

Arguments

rasts	SpatRasterDataset output of getPredictions(), or 'file' argument previously provided to getPredictions()
mods	output of getModels()
metrics	character vector with the metrics to compute. Can be any subset (default all) of c("AUC", "TSS", "kappa"), with the latter two computed at their maximum values (optimal thresholds). Performance metrics are computed with presence against all background (using 'modEvA' package functions with pbg=TRUE), so they evaluate the capacity of distinguishing presence from random, rather than presence from absence pixels (Phillips et al., 2006).
plot	logical value indicating whether plots should also be produced to illustrate the performance metrics for each model. The default is FALSE; TRUE can be slow for large datasets.
verbosity	integer value indicating the amount of messages to display. The default is 2, for the maximum number of messages available.

Value

This function returns a data frame of the performance evaluation results for each model.

References

Phillips, S.J., Anderson, R.P., Schapire, R.E. (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190: 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026

Examples

# Several data prep steps required.
# See https://github.com/AMBarbosa/ecotrends for a full worked example.

ecotrends documentation built on Aug. 8, 2025, 6:11 p.m.