ctree.boot: bootstrap several runs of the ctree algorithm

Description Usage Arguments

View source: R/util-tree.R

Description

This function repeatedly runs the ctree algorithm on random sub-samples of the underlying data to provide a measure of robustness for the individual ctree results.

Usage

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ctree.boot(df, nRun = 100, nSample = NULL, ctl = NULL, responseVar,
  ignoreCols)

Arguments

df

data.frame with response variable to be explained and all explanatory variables for the ctree to run with

nRun

number of bootstrapping runs to perform

nSample

number of samples (with replacement) for each run

ctl

ctree control instance to be passed to ctree algorithm to control stopping criteria, etc.

responseVar

the name of the variable that the ctree is trying to explain

ignoreCols

an optional list of columns in df, but that should be excluded from the ctree modeling


ConvergenceDA/visdom documentation built on May 6, 2019, 12:51 p.m.