woebin_ctree: Interface scorecard::woebin for partykiy::ctree

In jbkunst/risk3r: Tools for credit risk modelling

Interface scorecard::woebin for partykiy::ctree

Description

Interface scorecard::woebin for partykiy::ctree

Usage

woebin_ctree(
  y,
  x,
  namevar = "variable",
  count_distr_limit = 0.05,
  control = partykit::ctree_control()
)

Arguments

y	A vector of response. Usually 0-1
x	A predictive variable
namevar	a character element
count_distr_limit	The minimum count distribution percentage. Accepted range: 0.01-0.2; Defaults to 0.05.
control	a ctree::ctree_control list element

Examples

if(FALSE){

data(germancredit, package = "scorecard")

y <- germancredit$creditability

x <- germancredit$duration.in.month

woebin_ctree(y, x, "duration", count_distr_limit = 0.05)

woebin_ctree(y, x, "duration", count_distr_limit = 0.2)

woebin_ctree(
  y,
  x,
  "duration",
  count_distr_limit = 0.05,
  control = partykit::ctree_control(alpha = 0.5)
)

x[sample(c(TRUE, FALSE), size = length(x), prob = c(1, 99), replace = TRUE)] <- NA
woebin_ctree(y, x, "duration")

x <- germancredit$purpose
woebin_ctree(y, x, "purpose")

x[sample(c(TRUE, FALSE), size = length(x), prob = c(1, 99), replace = TRUE)] <- NA
woebin_ctree(y, x, "purpose_with_na")

}

jbkunst/risk3r documentation built on March 19, 2024, 10:49 p.m.