SEM Forest Control Object

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

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

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

logfile

Boolean/Character. If FALSE, no log file is written. Otherwise a logfile is written to the path given in this argument.

References

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

Author

Andreas M. Brandmaier, John J. Prindle