semforest.control {semtree} | R Documentation |
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.
[Package semtree version 0.9.20 Index]