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".
- Version0.7-4
- R version≥ 3.6.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- psychotools citation info
- Last release05/11/2024
Documentation
Team
Achim Zeileis
Carolin Strobl
Florian Wickelmaier
Show author detailsRolesAuthorBasil Komboz
Show author detailsRolesAuthorJulia Kopf
Show author detailsRolesAuthorLennart Schneider
Rudolf Debelak
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- Depends1 package
- Imports3 packages
- Suggests5 packages
- Reverse Depends3 packages
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- Reverse Enhances1 package