causalTree.control {htetree}

Intermediate function for causalTree

Description

Intermediate function for causalTree

Usage

causalTree.control(
  minsplit = 20L,
  minbucket = round(minsplit/3),
  cp = 0,
  maxcompete = 4L,
  maxsurrogate = 5L,
  usesurrogate = 2L,
  xval = 10L,
  surrogatestyle = 0L,
  maxdepth = 30L,
  ...
)

Arguments

minsplit

minimum number of splits

minbucket

minimum number of bucket

cp

default is 0

maxcompete

maximum number of compete

maxsurrogate

maximum number of surrogate

usesurrogate

initial number of surrogate

xval

cross-validation

surrogatestyle

the style of surrogate

maxdepth

Maximum depth

...

arguments to rpart.control may also be specified in the call to causalTree. They are checked against the list of valid arguments. An example of a commonly set parameter would be xval, which sets the number of cross-validation samples. The parameter minsize is implemented differently in causalTree than in rpart; we require a minimum of minsize treated observations and a minimum of minsize control observations in each leaf.

Value

parameters used to in causalTree