Package: cIRT 1.3.3
cIRT: Choice Item Response Theory
Jointly model the accuracy of cognitive responses and item choices within a Bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.
Authors:
cIRT_1.3.3.tar.gz
cIRT_1.3.3.zip(r-4.7)cIRT_1.3.3.zip(r-4.6)cIRT_1.3.3.zip(r-4.5)
cIRT_1.3.3.tgz(r-4.6-x86_64)cIRT_1.3.3.tgz(r-4.6-arm64)cIRT_1.3.3.tgz(r-4.5-x86_64)cIRT_1.3.3.tgz(r-4.5-arm64)
cIRT_1.3.3.tar.gz(r-4.7-arm64)cIRT_1.3.3.tar.gz(r-4.7-x86_64)cIRT_1.3.3.tar.gz(r-4.6-arm64)cIRT_1.3.3.tar.gz(r-4.6-x86_64)
cIRT_1.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cIRT/json (API)
NEWS
| # Install 'cIRT' in R: |
| install.packages('cIRT', repos = c('https://tmsalab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tmsalab/cirt/issues
Pkgdown/docs site:https://tmsalab.github.io
- choice_matrix - Choice Matrix Data
- payout_matrix - Payout Matrix Data
- survey_data - Survey Data
- trial_matrix - Trial Matrix Data
armadillobayesianchoicecognitive-diagnostic-modelsgibbs-samplingitem-response-theoryrcpparmadilloopenblascppopenmp
Last updated from:9ca4ef03e5. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 139 | ||
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 433 | ||
| linux-release-arm64 | OK | 133 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 133 | ||
| macos-release-x86_64 | OK | 229 | ||
| macos-oldrel-arm64 | OK | 102 | ||
| macos-oldrel-x86_64 | OK | 219 | ||
| windows-devel | OK | 126 | ||
| windows-release | OK | 130 | ||
| windows-oldrel | OK | 112 | ||
| wasm-release | OK | 115 |
Exports:center_matrixcIRTdirect_sumGenerate_ChoiceprobitHLMriwishartrmvnormrwishartTotal_TabulateTwoPLChoicemcmc
Dependencies:RcppRcppArmadillo
Estimating the Model in the Paper
Rendered fromEstimating-the-Model-in-the-Paper.Rmdusingknitr::rmarkdownon May 23 2026.Last update: 2020-03-22
Started: 2016-04-13
Package Overview
Rendered fromPackage-Overview.Rmdusingknitr::rmarkdownon May 23 2026.Last update: 2022-02-21
Started: 2016-04-13
Simulation Study with cIRT
Rendered fromSimulation-Study-with-cIRT.Rmdusingknitr::rmarkdownon May 23 2026.Last update: 2020-03-22
Started: 2016-04-13
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| cIRT: Choice Item Response Theory | cIRT-package |
| Center a Matrix | center_matrix |
| Choice Matrix Data | choice_matrix |
| Generic Implementation of Choice IRT MCMC | cIRT |
| Direct Sum of Matrices | direct_sum |
| Generate Observed Data from choice model | Generate_Choice |
| Payout Matrix Data | payout_matrix |
| Probit Hierarchical Level Model | probitHLM |
| Generate Random Inverse Wishart Distribution | riwishart |
| Generate Random Multivariate Normal Distribution | rmvnorm |
| Generate Random Wishart Distribution | rwishart |
| Survey Data | survey_data |
| Calculate Tabulated Total Scores | Total_Tabulate |
| Trial Matrix Data | trial_matrix |
| Two Parameter Choice IRT Model MCMC | TwoPLChoicemcmc |
