blr_bivariate_analysis: Bivariate analysis

In blorr: Tools for Developing Binary Logistic Regression Models

Bivariate analysis

Description

Information value and likelihood ratio chi square test for initial variable/predictor selection. Currently avialable for categorical predictors only.

Usage

blr_bivariate_analysis(data, response, ...)

## Default S3 method:
blr_bivariate_analysis(data, response, ...)

Arguments

data	A tibble or a data.frame.
response	Response variable; column in data.
...	Predictor variables; columns in data.

Value

A tibble with the following columns:

Variable	Variable name
Information Value	Information value
LR Chi Square	Likelihood ratio statisitc
LR DF	Likelihood ratio degrees of freedom
LR p-value	Likelihood ratio p value

See Also

Other bivariate analysis procedures: blr_segment(), blr_segment_dist(), blr_segment_twoway(), blr_woe_iv(), blr_woe_iv_stats()

Examples

blr_bivariate_analysis(hsb2, honcomp, female, prog, race, schtyp)

blorr documentation built on April 3, 2025, 6:01 p.m.