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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, r-oldrel (x86_64): cIRT_1.3.2.tgz
Old sources: cIRT archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cIRT to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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