boruta: BORUTA algorithm for SEM trees

In brandmaier/semtree: Recursive Partitioning for Structural Equation Models

BORUTA algorithm for SEM trees

Description

BORUTA algorithm for SEM trees

Usage

boruta(
  model,
  data,
  control = NULL,
  predictors = NULL,
  percentile_threshold = 100,
  rounds = 1,
  ...
)

Arguments

model	A template model specification from OpenMx using the mxModel function (or a lavaan model using the lavaan function with option fit=FALSE). Model must be syntactically correct within the framework chosen, and converge to a solution.
data	Data.frame used in the model creation using mxModel or lavaan are input here. Order of modeled variables and predictors is not important when providing a dataset to semtree.
control	semtree model specifications from semtree.control are input here. Any changes from the default setting can be specified here.
percentile_threshold	Numeric.
rounds	Numeric. Number of rounds of the BORUTA algorithm.

brandmaier/semtree documentation built on April 18, 2024, 3:24 a.m.