Package: xxIRT 2.1.2
xxIRT: Item Response Theory and Computer-Based Testing
A suite of psychometric analysis tools for research and operation, including: (1) computation of probability, information, and likelihood for the 3PL, GPCM, and GRM; (2) parameter estimation using joint or marginal likelihood estimation method; (3) simulation of computerized adaptive testing using built-in or customized algorithms; (4) assembly and simulation of multistage testing. The full documentation and tutorials are at <https://github.com/xluo11/xxIRT>.
Authors:
xxIRT_2.1.2.tar.gz
xxIRT_2.1.2.zip(r-4.5)xxIRT_2.1.2.zip(r-4.4)xxIRT_2.1.2.zip(r-4.3)
xxIRT_2.1.2.tgz(r-4.4-any)xxIRT_2.1.2.tgz(r-4.3-any)
xxIRT_2.1.2.tar.gz(r-4.5-noble)xxIRT_2.1.2.tar.gz(r-4.4-noble)
xxIRT_2.1.2.tgz(r-4.4-emscripten)xxIRT_2.1.2.tgz(r-4.3-emscripten)
xxIRT.pdf |xxIRT.html✨
xxIRT/json (API)
| # Install 'xxIRT' in R: |
| install.packages('xxIRT', repos = c('https://xluo11.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xluo11/xxirt/issues
Last updated 6 years agofrom:2d5b234431. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 15 2024 |
| R-4.5-win | NOTE | Oct 15 2024 |
| R-4.5-linux | NOTE | Oct 15 2024 |
| R-4.4-win | NOTE | Oct 15 2024 |
| R-4.4-mac | NOTE | Oct 15 2024 |
| R-4.3-win | OK | Oct 15 2024 |
| R-4.3-mac | OK | Oct 15 2024 |
Exports:ataata_constraintata_item_enemyata_item_fixedvalueata_item_useata_obj_absoluteata_obj_relativeata_solvecat_estimate_eapcat_estimate_hybridcat_estimate_mlecat_select_ccatcat_select_maxinfocat_select_shadowcat_simcat_stop_defaultcat_stop_projectioncronbach_alphaexpected_raw_score_distfreqmodel_3pl_eap_scoringmodel_3pl_estimate_jmlemodel_3pl_estimate_mmlemodel_3pl_fitplotmodel_3pl_gendatamodel_3pl_infomodel_3pl_lhmodel_3pl_map_scoringmodel_3pl_plotmodel_3pl_plot_loglhmodel_3pl_probmodel_3pl_rescalemodel_gpcm_eap_scoringmodel_gpcm_estimate_jmlemodel_gpcm_estimate_mmlemodel_gpcm_fitplotmodel_gpcm_gendatamodel_gpcm_infomodel_gpcm_lhmodel_gpcm_map_scoringmodel_gpcm_plotmodel_gpcm_plot_loglhmodel_gpcm_probmodel_gpcm_rescalemodel_grm_eap_scoringmodel_grm_estimate_jmlemodel_grm_estimate_mmlemodel_grm_fitplotmodel_grm_gendatamodel_grm_infomodel_grm_lhmodel_grm_map_scoringmodel_grm_plotmodel_grm_plot_loglhmodel_grm_probmodel_grm_rescalemstmst_assemblemst_constraintmst_get_itemsmst_module_infomst_objmst_rdpmst_routemst_simmst_stage_lengthrmsespearman_brownspearman_brown_reverse
Dependencies:clicolorspacefansifarverggplot2glpkAPIgluegtableisobandlabelinglatticelifecyclelpSolveAPImagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Automated Test Assembly (ATA) | ata ata_constraint ata_item_enemy ata_item_fixedvalue ata_item_use ata_obj_absolute ata_obj_relative ata_solve plot.ata print.ata |
| Simulation of Computerized Adaptive Testing (CAT) | cat_estimate_eap cat_estimate_hybrid cat_estimate_mle cat_select_ccat cat_select_maxinfo cat_select_shadow cat_sim cat_stop_default cat_stop_projection plot.cat print.cat |
| Cronbach's alpha | cronbach_alpha |
| #' Distribution of Expected Raw Scores | expected_raw_score_dist |
| Frequency Counts | freq |
| 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 |
| Simulation of Multistage Testing | mst_sim plot.mst_sim print.mst_sim |
| Root Mean Squared Error | rmse |
| Spearman Brown Prophecy | spearman_brown spearman_brown_reverse |
