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:Nils Myszkowski [aut, cre]

jrt_1.2.0.tar.gz
jrt_1.2.0.zip(r-4.7)jrt_1.2.0.zip(r-4.6)jrt_1.2.0.zip(r-4.5)
jrt_1.2.0.tgz(r-4.6-any)jrt_1.2.0.tgz(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
jrt/json (API)

# Install 'jrt' in R:

install.packages('jrt', repos = c('https://nilsmy.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

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.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.04 score 11 scripts 364 downloads 3 exports 92 dependencies

Last updated from:886083bafc. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	225
source / vignettes	OK	256
linux-release-x86_64	OK	204
macos-release-arm64	OK	161
macos-oldrel-arm64	OK	162
windows-devel	OK	152
windows-release	OK	147
windows-oldrel	OK	120
wasm-release	OK	128

Exports:info.plot jcc.plot jrt

Dependencies:audio beepr brio callr class cli clipr cluster codetools cpp11 crayon dcurver Deriv desc diffobj digest directlabels dplyr e1071 evaluate farver fs future future.apply generics ggplot2 ggsci globals glue GPArotation gridExtra gtable isoband jsonlite labeling lattice lifecycle listenv magrittr MASS Matrix mgcv mirai mirt mnormt nanonext nlme otel parallelly pbapply permute pillar pkgbuild pkgconfig pkgload praise processx progressr proxy ps psych purrr qs2 quadprog R.methodsS3 R.oo R.utils R6 RColorBrewer Rcpp RcppArmadillo RcppParallel rlang rprojroot S7 scales sessioninfo SimDesign splines2 stringfish stringi stringr testthat tibble tidyr tidyselect utf8 vctrs vegan viridisLite waldo withr

Using jrt

Rendered frommy-vignette.Rmdusingknitr::rmarkdown

Last update: 2026-06-10
Started: 2019-01-04

Help page	Topics
anova method for objects returned by the jrt function.	anova,jrt-method
Plot the information function for a judge or for the entire set of judges.	info.plot
Plot the category curves for a judge.	jcc.plot
Fit ordinal IRT models on judgment data and return factor scores and statistics.	jrt
Object returned by the jrt function.	jrt-class
A simulated dataset with 300 products judged by 6 judges.	ratings
A simulated dataset with 350 cases judged by 5 judges, using a planned missingness design.	ratings_missing

Package: jrt 1.2.0

jrt: Item Response Theory Modeling and Scoring for Judgment Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)