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, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.

Version: 0.16-1
Depends: R (≥ 4.0.0), partykit (≥ 1.2-9), psychotools (≥ 0.7-1)
Imports: graphics, grDevices, grid, stats, Formula
Suggests: stablelearner (≥ 0.1-3), strucchange, tinytest, mirt
Published: 2024-04-11
DOI: 10.32614/CRAN.package.psychotree
Author: Achim Zeileis ORCID iD [aut, cre], Carolin Strobl ORCID iD [aut], Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider ORCID iD [aut], David Dreifuss [aut], Rudolf Debelak ORCID iD [aut]
Maintainer: Achim Zeileis <Achim.Zeileis at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: psychotree citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: psychotree results


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


Package source: psychotree_0.16-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): psychotree_0.16-1.tgz, r-oldrel (arm64): psychotree_0.16-1.tgz, r-release (x86_64): psychotree_0.16-1.tgz, r-oldrel (x86_64): psychotree_0.16-1.tgz
Old sources: psychotree archive

Reverse dependencies:

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


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