accuracy_glm_cross: Accuracy function to evaluate a gml model for training and...

In pezzacolori/boris-r-misc: Boris' miscellanea

Description

Evaluate according to multiple criteria a gml model for training and test dataset

Usage

accuracy_glm_cross(m, abundance, test, depvar_name, abundance_name)

Arguments

m	glm model
abundance	abundances, should be passed in same order as presences and same length
test	dataframe holding test data
depvar_name	name of te dependent variable in the test dataframe
abundance_name	name of te abundance variable in the test dataframe

Value

a vector of named arguments (n=number data, np=numer of presences, )

pezzacolori/boris-r-misc documentation built on Sept. 14, 2021, 1:46 a.m.