Package: catIrt 0.5.2
catIrt: Simulate IRT-Based Computerized Adaptive Tests
Functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.
Authors:
catIrt_0.5.2.tar.gz
catIrt_0.5.2.zip(r-4.7)catIrt_0.5.2.zip(r-4.6)catIrt_0.5.2.zip(r-4.5)
catIrt_0.5.2.tgz(r-4.6-x86_64)catIrt_0.5.2.tgz(r-4.6-arm64)catIrt_0.5.2.tgz(r-4.5-x86_64)catIrt_0.5.2.tgz(r-4.5-arm64)
catIrt_0.5.2.tar.gz(r-4.7-arm64)catIrt_0.5.2.tar.gz(r-4.7-x86_64)catIrt_0.5.2.tar.gz(r-4.6-arm64)catIrt_0.5.2.tar.gz(r-4.6-x86_64)
catIrt_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
catIrt/json (API)
NEWS
| # Install 'catIrt' in R: |
| install.packages('catIrt', repos = c('https://swnydick.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/swnydick/catirt/issues
Last updated from:c9e979e481. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 162 | ||
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 157 | ||
| linux-release-arm64 | OK | 150 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 154 | ||
| macos-release-x86_64 | OK | 374 | ||
| macos-oldrel-arm64 | OK | 165 | ||
| macos-oldrel-x86_64 | OK | 337 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 63 | ||
| wasm-release | OK | 91 |
Exports:bmeEstcatIrteapEstFIFI.brmFI.grmitChooseKLKL.brmKL.grmmleEstsimIrtwleEst
Dependencies:numDeriv
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulate IRT-Based Computerized Adaptive Tests (CATs) | catIrt-package |
| Simulate Computerized Adaptive Tests (CATs) | catIrt plot.catIrt print.catIrt summary.catIrt |
| Calculate Expected and Observed Fisher Information for IRT Models | FI FI.brm FI.grm |
| Choose the Next Item in a CAT | itChoose |
| Calculate Kullback-Leibler Divergence for IRT Models | KL KL.brm KL.grm |
| Estimate Ability in IRT Models | bmeEst eapEst mleEst wleEst |
| Simulate Responses to IRT Models | simIrt |
