select_best: Helper funtion to select best parameter settings

View source: R/helpers.R

select_bestR Documentation

Helper funtion to select best parameter settings

Description

Helper funtion to select best parameter settings

Usage

select_best(calibration_table, selection_criteria = "S_OR_P",
            level = 95, error = 5)

Arguments

calibration_table

data.frame of results from model calibration in ellipsenm.

selection_criteria

(character) set of criteria to select best models, options are: "S_OR" (statistical significance and low omission) and "S_OR_P" (statistical significance, low omission, and low prevalence). See details. Default = "Sig_OR_Prev".

level

(numeric) the confidence level of a pairwise confidence region for the ellipsoid, expresed as percentage. Default = 95.

error

(numeric) value from 0 to 100 to represent the percentage of potential error (E) that the data could have due to any source of uncertainty. Default = 5.

Value

data.frame with the selected parameter settings according to the argument selection_criteria.


marlonecobos/ellipsenm documentation built on Oct. 18, 2023, 8:09 a.m.