Package: catIrt 0.5.1
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_0.5.1.tar.gz
catIrt_0.5.1.zip(r-4.5)catIrt_0.5.1.zip(r-4.4)catIrt_0.5.1.zip(r-4.3)
catIrt_0.5.1.tgz(r-4.4-x86_64)catIrt_0.5.1.tgz(r-4.4-arm64)catIrt_0.5.1.tgz(r-4.3-x86_64)catIrt_0.5.1.tgz(r-4.3-arm64)
catIrt_0.5.1.tar.gz(r-4.5-noble)catIrt_0.5.1.tar.gz(r-4.4-noble)
catIrt_0.5.1.tgz(r-4.4-emscripten)catIrt_0.5.1.tgz(r-4.3-emscripten)
catIrt.pdf |catIrt.html✨
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 3 years agofrom:e2ed85ef69. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win-x86_64 | OK | Nov 09 2024 |
R-4.5-linux-x86_64 | OK | Nov 09 2024 |
R-4.4-win-x86_64 | OK | Nov 09 2024 |
R-4.4-mac-x86_64 | OK | Nov 09 2024 |
R-4.4-mac-aarch64 | OK | Nov 09 2024 |
R-4.3-win-x86_64 | OK | Nov 09 2024 |
R-4.3-mac-x86_64 | OK | Nov 09 2024 |
R-4.3-mac-aarch64 | OK | Nov 09 2024 |
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 |