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blr_woe_iv

WoE & IV

Description

Weight of evidence and information value. Currently avialable for categorical predictors only.

Usage

blr_woe_iv(data, predictor, response, digits = 4, ...)

## S3 method for class 'blr_woe_iv'
plot(
  x,
  title = NA,
  xaxis_title = "Levels",
  yaxis_title = "WoE",
  bar_color = "blue",
  line_color = "red",
  print_plot = TRUE,
  ...
)

Arguments

data

A tibble or data.frame.
predictor

Predictor variable; column in data.
response

Response variable; column in data.
digits

Number of decimal digits to round off.
...

Other inputs.
x

An object of class blr_segment_dist.
title

Plot title.
xaxis_title

X axis title.
yaxis_title

Y axis title.
bar_color

Color of the bar.
line_color

Color of the horizontal line.
print_plot

logical; if TRUE, prints the plot else returns a plot object.

Value

A tibble.

References

Siddiqi N (2006): Credit Risk Scorecards: developing and implementing intelligent credit scoring. New Jersey, Wiley.

See Also

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

Examples

# woe and iv
k <- blr_woe_iv(hsb2, female, honcomp)
k

# plot woe
plot(k)
blorr

Tools for Developing Binary Logistic Regression Models

v0.3.0
MIT + file LICENSE
Authors
Aravind Hebbali [aut, cre] (<https://orcid.org/0000-0001-9220-9669>)
Initial release

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