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.
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README.md

Travis-CI Build Status CRAN_Status_Badge

cIRT

An R Package detailing the Choice Item Response Theory Model

Install Instructions (All platforms)

To install the cIRT package, there are two options: CRAN (stable) or GitHub (Developmental).

The installation process with CRAN is the simplest

install.packages("cIRT")

Prior to installing with devtools, please make sure to have a compiler installed on your system that is compatible with R.

If you have a compiler already installed, then continue on by installing the package dependencies and finally the package itself by doing the following:

# Install dependencies
install.packages("RcppArmadillo")

# Install the package from github
devtools::install_github("tmsalab/cIRT")