blr_woe_iv {blorr} | R Documentation |
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 |
predictor |
Predictor variable; column in |
response |
Response variable; column in |
digits |
Number of decimal digits to round off. |
... |
Other inputs. |
x |
An object of class |
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 |
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)
[Package blorr version 0.3.0 Index]