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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 |
Maintainer: | Achim Zeileis <Achim.Zeileis at R-project.org> |
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: psychotools_0.7-4.zip, r-release: psychotools_0.7-4.zip, r-oldrel: psychotools_0.7-4.zip |
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 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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