Package: jrt 1.1.2
jrt: Item Response Theory Modeling and Scoring for Judgment Data
Psychometric analysis and scoring of judgment data using polytomous Item-Response Theory (IRT) models, as described in Myszkowski and Storme (2019) <doi:10.1037/aca0000225> and Myszkowski (2021) <doi:10.1037/aca0000287>. A function is used to automatically compare and select models, as well as to present a variety of model-based statistics. Plotting functions are used to present category curves, as well as information, reliability and standard error functions.
Authors:
jrt_1.1.2.tar.gz
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jrt.pdf |jrt.html✨
jrt/json (API)
NEWS
# Install 'jrt' in R: |
install.packages('jrt', repos = c('https://nilsmy.r-universe.dev', 'https://cloud.r-project.org')) |
- ratings - A simulated dataset with 300 products judged by 6 judges.
- ratings_missing - A simulated dataset with 350 cases judged by 5 judges, using a planned missingness design.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:40b5b5fab0. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | NOTE | Nov 04 2024 |
R-4.5-linux | NOTE | Nov 04 2024 |
R-4.4-win | NOTE | Nov 04 2024 |
R-4.4-mac | NOTE | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Dependencies:audiobeeprbriocallrcliclustercodetoolscolorspacecpp11crayoncurldcurverDerivdescdiffobjdigestdirectlabelsdplyrevaluatefansifarverfsfuturefuture.applygenericsggplot2ggsciglobalsglueGPArotationgridExtragtableirrisobandjsonlitelabelinglatticelifecyclelistenvlpSolvemagrittrMASSMatrixmgcvmirtmnormtmunsellnlmeparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrpspsychpurrrquadprogR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadillorematch2rlangrprojrootRPushbulletscalessessioninfoSimDesignsnowstringistringrtestthattibbletidyrtidyselectutf8vctrsveganviridisLitewaldowithr