cIRT (version 1.3.3)

Choice Item Response Theory

Description

Jointly model the accuracy of cognitive responses and item choices within a Bayesian hierarchical framework as described by Culpepper and Balamuta (2015) . In addition, the package contains the datasets used within the analysis of the paper.

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Install

install.packages('cIRT')

Monthly Downloads

272

Version

1.3.3

License

GPL (>= 2)

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Repository

https://github.com/tmsalab/cIRT

Homepage

https://tmsalab.github.io/cIRT/

Maintainer

James Balamuta

Last Published

September 27th, 2025

Functions in cIRT (1.3.3)

survey_data

Survey Data

rwishart

Generate Random Wishart Distribution

Generic Implementation of Choice IRT MCMC

direct_sum

Direct Sum of Matrices

probitHLM

Probit Hierarchical Level Model

TwoPLChoicemcmc

Two Parameter Choice IRT Model MCMC

Generate_Choice

Generate Observed Data from choice model

cIRT-package

cIRT: Choice Item Response Theory

Total_Tabulate

Calculate Tabulated Total Scores

rmvnorm

Generate Random Multivariate Normal Distribution

riwishart

Generate Random Inverse Wishart Distribution