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 versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- psychotools citation info
- Last release05/11/2024
Documentation
Team
- Achim ZeileisMaintainerShow author details
- Florian WickelmaierShow author detailsRolesAuthor
- Lennart SchneiderShow author detailsRolesAuthor
- Rudolf DebelakShow author detailsRolesAuthor
- Carolin Strobl
- Basil KombozShow author detailsRolesAuthor
- Julia KopfShow author detailsRolesAuthor
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Dependencies
- Suggests5 packages
- Reverse Depends3 packages
- Reverse Imports8 packages
- Reverse Suggests5 packages
- Reverse Enhances1 package