SEM Trees and SEM Forests – an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees.
| Version: | 0.9.9 |
| Depends: | OpenMx (≥ 2.6.9) |
| Imports: | bitops, sets, digest, rpart, rpart.plot, parallel |
| Suggests: | lavaan |
| Published: | 2016-12-16 |
| Author: | Andreas M. Brandmaier [aut, cre], John J. Prindle [aut] |
| Maintainer: | Andreas M. Brandmaier <andy at brandmaier.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | semtree results |
| Reference manual: | semtree.pdf |
| Package source: | semtree_0.9.9.tar.gz |
| Windows binaries: | r-devel: semtree_0.9.9.zip, r-release: semtree_0.9.9.zip, r-oldrel: semtree_0.9.9.zip |
| OS X Mavericks binaries: | r-release: semtree_0.9.9.tgz, r-oldrel: semtree_0.9.9.tgz |
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