Package: semtree
Type: Package
Title: Recursive Partitioning for Structural Equation Models
Authors@R: c(person("Andreas M. Brandmaier", email="andy@brandmaier.de", role=c("aut","cre")), person("John J. Prindle", email="jprindle@usc.edu",role=c("aut")),person("Manuel Arnold", email="arnoldmz@hu-berlin.de",role=c("aut")))
Author: Andreas M. Brandmaier [aut, cre],
  John J. Prindle [aut],
  Manuel Arnold [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>
Depends: R (>= 2.10), OpenMx (>= 2.6.9),
Imports: bitops, sets, digest, rpart, rpart.plot (>= 3.0.6), plotrix,
        cluster, stringr, lavaan, ggplot2, tidyr, methods, strucchange,
        sandwich, zoo, crayon, clisymbols, future.apply
Suggests: knitr, rmarkdown, viridis, MASS, psychTools, testthat
Description: 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 each 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. A description of the method was published by
    Brandmaier, von Oertzen, McArdle, & Lindenberger (2013; <doi:10.1037/a0030001>) 
    and Arnold, Voelkle, & Brandmaier (2020; <doi:10.3389/fpsyg.2020.564403>).
License: GPL-3
Encoding: UTF-8
LazyLoad: yes
Version: 0.9.17
Date: 2021-07-27
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-29 17:27:37 UTC; brandmaier
Repository: CRAN
Date/Publication: 2021-07-30 08:10:02 UTC
Built: R 4.0.2; ; 2021-07-31 11:23:18 UTC; unix
