BORUTA algorithm for SEM trees

BORUTA algorithm for SEM trees

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.