psychotree: Recursive Partitioning Based on Psychometric Models

Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees.

Version: 0.15-4
Depends: R (≥ 4.0.0), partykit (≥ 0.8-4), psychotools (≥ 0.4-0)
Imports: graphics, grDevices, grid, stats, Formula
Suggests: stablelearner (≥ 0.1-3), strucchange
Published: 2021-05-21
Author: Achim Zeileis ORCID iD [aut, cre], Carolin Strobl [aut], Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider ORCID iD [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis at R-project.org>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: psychotree citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: psychotree results

Documentation:

Reference manual: psychotree.pdf
Vignettes: Using the raschtree Function for Detecting Differential Item Functioning in the Rasch Model

Downloads:

Package source: psychotree_0.15-4.tar.gz
Windows binaries: r-devel: psychotree_0.15-4.zip, r-release: psychotree_0.15-4.zip, r-oldrel: psychotree_0.15-4.zip
macOS binaries: r-release (arm64): psychotree_0.15-4.tgz, r-oldrel (arm64): psychotree_0.15-4.tgz, r-release (x86_64): psychotree_0.15-4.tgz, r-oldrel (x86_64): psychotree_0.15-4.tgz
Old sources: psychotree archive

Reverse dependencies:

Reverse imports: PlackettLuce
Reverse suggests: gosset, partykit, scDIFtest

Linking:

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