CoOL_6_number_of_sub_groups: Number of subgroups

In CoOL: Causes of Outcome Learning

Number of subgroups

Description

Calculates the mean distance by several number of subgroups to determine the optimal number of subgroups.

Usage

CoOL_6_number_of_sub_groups(
  risk_contributions,
  low_number = 1,
  high_number = 5,
  ipw = 1,
  restore_par_options = TRUE
)

Arguments

risk_contributions	The risk contributions.
low_number	The lowest number of subgroups.
high_number	The highest number of subgroups.
ipw	a vector of weights per observation to allow for inverse probability of censoring weighting to correct for selection bias
restore_par_options	Restore par options.

Value

A plot of the mean distance by the number of subgroups. The mean distance converges when the optimal number of subgroups are found.

Examples

#See the example under CoOL_0_working_example

CoOL documentation built on May 24, 2022, 5:04 p.m.