semforest: Create a SEM Forest

In semtree: Recursive Partitioning for Structural Equation Models

Create a SEM Forest

Description

Grows a SEM Forest from a template model and a dataset. This may take some time.

Usage

semforest(
  model,
  data,
  control = NULL,
  predictors = NULL,
  constraints = NULL,
  ...
)

Arguments

model	A template SEM. Same as in semtree.
data	A dataframe to create a forest from. Same as in semtree.
control	A semforest control object to set forest parameters.
predictors	An optional list of covariates. See semtree code example.
constraints	An optional list of covariates. See semtree code example.
...	Optional parameters.

Value

A semforest object.

Author(s)

Andreas M. Brandmaier, John J. Prindle

References

Brandmaier, A.M., Prindle, J. J., McArdle, J. J., & Lindenberger, U. (2016). Theory-guided exploration with structural equation model forests. Psychological Methods, 21(4), 566–582.

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

See Also

semtree

semtree documentation built on Nov. 26, 2023, 5:07 p.m.