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:Steven Nydick [cre, aut]

catIrt_0.5.2.tar.gz
catIrt_0.5.2.zip(r-4.7-x86_64)catIrt_0.5.2.zip(r-4.7-arm64)catIrt_0.5.2.zip(r-4.6-x86_64)catIrt_0.5.2.zip(r-4.6-arm64)catIrt_0.5.2.zip(r-4.5-x86_64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
catIrt/json (API)

# 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

On CRAN:

Conda:

3.30 score 4 stars 396 downloads 1 mentions 13 exports 1 dependencies

Last updated from:c9e979e481. Checks:15 OK. Indexed: yes.

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source / vignettesOK181
linux-release-arm64OK102
linux-release-x86_64OK109
macos-release-arm64OK162
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macos-oldrel-arm64OK104
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windows-devel-arm64OK307
windows-devel-x86_64OK123
windows-release-arm64OK297
windows-release-x86_64OK67
windows-oldrel-x86_64OK125
wasm-releaseOK120

Exports:bmeEstcatIrteapEstFIFI.brmFI.grmitChooseKLKL.brmKL.grmmleEstsimIrtwleEst

Dependencies:numDeriv