Package: Rirt 0.0.2
Rirt: Data Analysis and Parameter Estimation Using Item Response Theory
Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at <https://github.com/xluo11/Rirt>.
Authors:
Rirt_0.0.2.tar.gz
Rirt_0.0.2.zip(r-4.5)Rirt_0.0.2.zip(r-4.4)Rirt_0.0.2.zip(r-4.3)
Rirt_0.0.2.tgz(r-4.4-x86_64)Rirt_0.0.2.tgz(r-4.4-arm64)Rirt_0.0.2.tgz(r-4.3-x86_64)Rirt_0.0.2.tgz(r-4.3-arm64)
Rirt_0.0.2.tar.gz(r-4.5-noble)Rirt_0.0.2.tar.gz(r-4.4-noble)
Rirt_0.0.2.tgz(r-4.4-emscripten)Rirt_0.0.2.tgz(r-4.3-emscripten)
Rirt.pdf |Rirt.html✨
Rirt/json (API)
| # Install 'Rirt' in R: |
| install.packages('Rirt', repos = c('https://xluo11.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xluo11/rirt/issues
Last updated 5 years agofrom:2d5fac83d1. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 14 2024 |
| R-4.5-win-x86_64 | OK | Oct 14 2024 |
| R-4.5-linux-x86_64 | OK | Oct 14 2024 |
| R-4.4-win-x86_64 | OK | Oct 14 2024 |
| R-4.4-mac-x86_64 | OK | Oct 14 2024 |
| R-4.4-mac-aarch64 | OK | Oct 14 2024 |
| R-4.3-win-x86_64 | OK | Oct 14 2024 |
| R-4.3-mac-x86_64 | OK | Oct 14 2024 |
| R-4.3-mac-aarch64 | OK | Oct 14 2024 |
Exports:cronbach_alphafreqmodel_3pl_eapmodel_3pl_fitplotmodel_3pl_gendatamodel_3pl_infomodel_3pl_jmlemodel_3pl_lhmodel_3pl_mapmodel_3pl_mmlemodel_3pl_plotmodel_3pl_plot_loglhmodel_3pl_probmodel_3pl_rescalemodel_gpcm_eapmodel_gpcm_fitplotmodel_gpcm_gendatamodel_gpcm_infomodel_gpcm_jmlemodel_gpcm_lhmodel_gpcm_mapmodel_gpcm_mmlemodel_gpcm_plotmodel_gpcm_plot_loglhmodel_gpcm_probmodel_gpcm_rescalemodel_grm_eapmodel_grm_fitplotmodel_grm_gendatamodel_grm_infomodel_grm_jmlemodel_grm_lhmodel_grm_mapmodel_grm_mmlemodel_grm_plotmodel_grm_plot_loglhmodel_grm_probmodel_grm_rescalemodel_mixed_eapmodel_mixed_gendatamodel_mixed_infomodel_mixed_lhmodel_mixed_mapmodel_mixed_probquadratic_kapparmsespearman_brownspearman_brown_reverse
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimation of the Mixed Format Model | estimate_mixed model_mixed_eap model_mixed_map |
| 3-parameter-logistic model | model_3pl model_3pl_gendata model_3pl_info model_3pl_lh model_3pl_plot model_3pl_plot_loglh model_3pl_prob model_3pl_rescale |
| Generalized Partial Credit Model | model_gpcm model_gpcm_gendata model_gpcm_info model_gpcm_lh model_gpcm_plot model_gpcm_plot_loglh model_gpcm_prob model_gpcm_rescale |
| Graded Response Model | model_grm model_grm_gendata model_grm_info model_grm_lh model_grm_plot model_grm_plot_loglh model_grm_prob model_grm_rescale |
| Mixed-format model | model_mixed model_mixed_gendata model_mixed_info model_mixed_lh model_mixed_prob |
| Utility functions | cronbach_alpha freq quadratic_kappa rmse spearman_brown spearman_brown_reverse utils |
