compContTests: Compute contingency tests for all model responses

In environmentalinformatics-marburg/gpm: Geospatial predictive modeling using parameterized and unparameterized models.

Description

Compute individual or averaged contingency tests for all predicted variables

Usage

compContTests(models, mean = TRUE)

Arguments

models	The trained model for each response variable and all resamplings resulting from trainModel
mean	Compute the mean contingengy test results over all response variables or return an indivual result for each one of them

Details

NONE

Value

A data frame containing the contingency test information.

References

Contingency tests are taken from CAWCR (http://goo.gl/BEPWOI)

See Also

NONE

Examples

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environmentalinformatics-marburg/gpm documentation built on July 11, 2020, 11:12 a.m.