psychotools: Psychometric Modeling Infrastructure

Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".

Version: 0.7-4
Depends: R (≥ 3.6.0)
Imports: graphics, grDevices, stats, utils
Suggests: Formula, likert, mirt, multcomp, sandwich
Published: 2024-05-11
DOI: 10.32614/CRAN.package.psychotools
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], Rudolf Debelak ORCID iD [aut]
Maintainer: Achim Zeileis <Achim.Zeileis at>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: psychotools citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: psychotools results


Reference manual: psychotools.pdf
Vignettes: Using psychotools for Evaluating the Performance of Score-Based Measurement Invariance Tests in IRT Models


Package source: psychotools_0.7-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): psychotools_0.7-4.tgz, r-oldrel (arm64): psychotools_0.7-4.tgz, r-release (x86_64): psychotools_0.7-4.tgz, r-oldrel (x86_64): psychotools_0.7-4.tgz
Old sources: psychotools archive

Reverse dependencies:

Reverse depends: psychomix, psychotree, RM.weights
Reverse imports: BTLLasso, eba, EloChoice, gosset, iarm, immer, PlackettLuce, tcl
Reverse suggests: model4you, palmtree, partykit, tmt
Reverse enhances: qvcalc


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