semforest.control: SEM Forest Control Object

In semtree: Recursive Partitioning for Structural Equation Models

SEM Forest Control Object

Description

A SEM Forest control object to tune parameters of the forest learning algorithm.

Usage

semforest.control(
  num.trees = 5,
  sampling = "subsample",
  control = NA,
  mtry = 2,
  remove_dead_trees = TRUE
)

Arguments

num.trees	Number of trees.
sampling	Sampling procedure. Can be subsample or bootstrap.
control	A SEM Tree control object. Will be generated by default.
mtry	Number of subsampled covariates at each node.
remove_dead_trees	Remove trees from forest that had runtime errors

Author(s)

Andreas M. Brandmaier, John J. Prindle

References

Brandmaier, A.M., Oertzen, T. v., McArdle, J.J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18(1), 71-86.

semtree documentation built on May 29, 2024, 4:05 a.m.