Bivariate analysis

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)
#>                          Bivariate Analysis                           
#> ---------------------------------------------------------------------
#> Variable    Information Value    LR Chi Square    LR DF    LR p-value 
#> ---------------------------------------------------------------------
#>  female           0.10              3.9350          1        0.0473   
#>   prog            0.43              16.1450         2        3e-04    
#>   race            0.33              11.3694         3        0.0099   
#>  schtyp           0.00              0.0445          1        0.8330   
#> ---------------------------------------------------------------------