summary_calibration: Helper to summarize all results from model calibration...

In manubio13/ku.enm: Detailed development of ecological niche models using Maxent

Helper to summarize all results from model calibration exercises

Description

Helper to summarize all results from model calibration exercises

Usage

summary_calibration(proc.or.aicc.results, selection = "OR_AICc")

Arguments

proc.or.aicc.results	data.frame with results from evaluation of all candidate models. Generally the output of proc_or_aicc.
selection	(character) model selection criterion, can be "OR_AICc", "AICc", or "OR"; OR = omission rates. Default = "OR_AICc", which means that among models that are statistically significant and that present omission rates below the threshold, those with delta AICc up to 2 will be selected. See details for other selection criteria.

Details

Other selecton criteria are described below: If "AICc" criterion is chosen, all significant models with delta AICc up to 2 will be selected If "OR" is chosen, the 10 first significant models with the lowest omission rates will be selected.

Value

A list with all results that need to be written to produce the evaluation report.

manubio13/ku.enm documentation built on Jan. 5, 2024, 5:55 a.m.