Package: cacIRT 1.4

cacIRT: Classification Accuracy and Consistency under Item Response Theory

Computes classification accuracy and consistency indices under Item Response Theory. Implements the total score IRT-based methods in Lee, Hanson & Brennen (2002) and Lee (2010), the IRT-based methods in Rudner (2001, 2005), and the total score nonparametric methods in Lathrop & Cheng (2014). For dichotomous and polytomous tests.

Authors:Quinn N. Lathrop

cacIRT_1.4.tar.gz
cacIRT_1.4.zip(r-4.5)cacIRT_1.4.zip(r-4.4)cacIRT_1.4.zip(r-4.3)
cacIRT_1.4.tgz(r-4.4-any)cacIRT_1.4.tgz(r-4.3-any)
cacIRT_1.4.tar.gz(r-4.5-noble)cacIRT_1.4.tar.gz(r-4.4-noble)
cacIRT_1.4.tgz(r-4.4-emscripten)cacIRT_1.4.tgz(r-4.3-emscripten)
cacIRT.pdf |cacIRT.html
cacIRT/json (API)

# Install 'cacIRT' in R:
install.packages('cacIRT', repos = c('https://quinn-lathrop.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 8 scripts 314 downloads 20 exports 0 dependencies

Last updated 9 years agofrom:8fde313520. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winOKOct 24 2024
R-4.5-linuxOKOct 24 2024
R-4.4-winOKOct 24 2024
R-4.4-macOKOct 24 2024
R-4.3-winOKOct 24 2024
R-4.3-macOKOct 24 2024

Exports:class.Leeclass.Rudgen.rec.rawiifirfLee.DLee.PLee.pnrLee.poly.DLee.poly.PMLEnormal.qupnrrecursive.rawRud.DRud.PSEMsimtifTOtable.F

Dependencies: