evaluation_stats: Summary of evaluation statistics for candidate models

In enmpa: Ecological Niche Modeling using Presence-Absence Data

Summary of evaluation statistics for candidate models

Description

Calculate median and standard deviation of evaluation results for all candidate models considering cross-validation kfolds.

Usage

evaluation_stats(evaluation_results, bimodal_toexclude = FALSE)

Arguments

evaluation_results	data.frame model evaluation results. These results are the output of the function model_validation.
bimodal_toexclude	(logical) whether models in which binomial variable response curves were detected will be excluded during selection processes.

Value

A data.frame with the mean and standard deviation for all metrics considering cross-validation kfolds.

Examples

# data
data("cal_res", package = "enmpa")
all_res <- cal_res$calibration_results[, -1]

# statistics for all evaluation results
evaluation_stats(all_res, bimodal_toexclude = TRUE)

enmpa documentation built on June 13, 2025, 1:10 a.m.