Package: jrt 1.2.0
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_1.2.0.tar.gz
jrt_1.2.0.tar.gz(r-4.7-any)jrt_1.2.0.tar.gz(r-4.6-any)
jrt_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
jrt/json (API)
NEWS
| # Install 'jrt' in R: |
| install.packages('jrt', repos = c('https://cran.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 from:886083bafc. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 180 | ||
| source / vignettes | OK | 251 | ||
| linux-release-x86_64 | OK | 190 | ||
| wasm-release | OK | 131 |
Dependencies:audiobeeprbriocallrclassclicliprclustercodetoolscpp11crayondcurverDerivdescdiffobjdigestdirectlabelsdplyre1071evaluatefarverfsfuturefuture.applygenericsggplot2ggsciglobalsglueGPArotationgridExtragtableisobandjsonlitelabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmiraimirtmnormtnanonextnlmeotelparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrproxypspsychpurrrqs2quadprogR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppParallelrlangrprojrootS7scalessessioninfoSimDesignsplines2stringfishstringistringrtestthattibbletidyrtidyselectutf8vctrsveganviridisLitewaldowithr
