LMEtree: Create the tree as a list function

In AshwiniKV/TEHTree: TEHTree: Treatment effect heterogeneity tree

Description

This function uses the outcome (here the treatment effect) and covariates for the matched pairs and are determined from the MatchForTree function.

Usage

LMEtree(
  Y,
  X,
  ctl.ind,
  indx,
  indx.TEST,
  X.TEST,
  pval.thresh = 0.05,
  min.leaf.size = 12,
  met.type = "bonferroni",
  min.split.size = 7,
  split.pts = 0.05,
  sample = "single"
)

Arguments

Y	response vector
X	covariate matrix
ctl.ind	treatment indicator
indx	index
indx.TEST	index in the test sample
X.TEST	covariates correseponding to the test sample
pval.thresh	p-value threshold
min.leaf.size	minimum leaf size
met.type	Default uses bonferroni correction. Other options include holm, hochberg, hommel, BH, BY, fdr and none. These are specified within the p.adjust function.
min.split.size	minimum size to allow splitting
split.pts	Split points
sample	"single" or "double"

AshwiniKV/TEHTree documentation built on Sept. 15, 2021, 11:21 p.m.