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.

Version: 1.3.2
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.8)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.8.1.0)
Suggests: knitr, rmarkdown, covr
Published: 2022-02-21
Author: Steven Andrew Culpepper ORCID iD [aut, cph], James Joseph Balamuta ORCID iD [aut, cph, cre]
Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>
BugReports: https://github.com/tmsalab/cIRT/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://tmsalab.github.io/cIRT/, https://github.com/tmsalab/cIRT
NeedsCompilation: yes
Language: en-US
Citation: cIRT citation info
Materials: NEWS
CRAN checks: cIRT results

Documentation:

Reference manual: cIRT.pdf
Vignettes: Estimating the Model in the Paper
Package Overview
Simulation Study with cIRT

Downloads:

Package source: cIRT_1.3.2.tar.gz
Windows binaries: r-devel: cIRT_1.3.2.zip, r-release: cIRT_1.3.2.zip, r-oldrel: cIRT_1.3.2.zip
macOS binaries: r-release (arm64): cIRT_1.3.2.tgz, r-oldrel (arm64): cIRT_1.3.2.tgz, r-release (x86_64): cIRT_1.3.2.tgz
Old sources: cIRT archive

Linking:

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