partition.ITR: Generates partition summary based on itr value. Used inside...

In jinjinzhou/ITR.Tree: Building an ITR Tree

Description

Generates partition summary based on itr value. Used inside of the grow.ITR function.

Usage

partition.ITR(dat, test = NULL, name = "0", min.ndsz = 20, n0 = 5,
  split.var, ctg = NULL, max.depth = 15, mtry = length(split.var))

Arguments

dat	data set from which the partition is to be made. Must contain outcome, binary treatment indicator, columns of splitting covariates, and column of probability of being in treatment group.
min.ndsz	minimum number of observations required to call a node terminal. Defaults to 20.
n0	minimum number of treatment/control observations needed in a split to call a node terminal. Defaults to 5.
split.var	columns of potential spliting variables. Required input.
ctg	identifies the categorical input columns. Defaults to NULL. Not available yet.
max.depth	controls the maximum depth of the tree. Defaults to 15.
mtry	sets the number of randomly selected splitting variables to be included. Defaults to number of splitting variables.

Value

partition information based on itr value

jinjinzhou/ITR.Tree documentation built on May 19, 2019, 10:36 a.m.