The cIRT package (CRAN, GitHub) is home to the implementation of Choice Item Response Theory (cIRT) described by Culpepper and Balamuta (2015). cIRT jointly models the accuracy of cognitive responses and item choices within a bayesian hierarchical framework.

We revisited the cIRT package and applied a series of modernizations alongside of a requested bug fix. In particular, we have updated all package dependencies and now depend on Rcpp to generate the registration for C++ functions we export with it. Moreover, we fixed a bug that came up with additional memory tests related to a for loop check. Outside of that, we have embraced using ORCiD for each package author.

For more information, please see the full NEWS release below.

cIRT news file entry for version 1.3.0 (2019-01-24)

Changes

• Added LazyData: true to DESCRIPTION to match with how the data documentation is called. (#3)

Documentation

• Added a pkgdown website that deploys to https://tmsalab.github.io/cIRT/. (#3)

Deployment

• Switched from Travis-CI to GitHub Actions for R. (#5)

GitHub Changelog