superv_bin: Supervised Binning

In jbkunst/riskr: Functions to Facilitate the Evaluation, Monitoring and Modeling process

Description

Automatic supervised binning

Usage

superv_bin(variable, target, min.p = 0.05, min.cri = 0.95, max.depth = 5)

Arguments

variable	A variable
target	A numeric binary vector 0,1
min.p	Minimal proportion in a group (a ctree_control argument).
min.cri	Minimal critetion (a ctree_control argument).
max.depth	Maximun depth in the tree

Value

A list of elements

Examples

data("credit")

variable <-  credit$age
target <- credit$bad

superv_bin(variable, target)

variable <- credit$marital_status

superv_bin(variable, target)

jbkunst/riskr documentation built on May 18, 2019, 7 p.m.