Choice Item Response Theory
Center a Matrix
cIRT: Choice Item Response Theory
Generic Implementation of Choice IRT MCMC
Direct Sum of Matrices
Generate Observed Data from choice model
Probit Hierarchical Level Model
Generate Random Inverse Wishart Distribution
Generate Random Multivariate Normal Distribution
Generate Random Wishart Distribution
Calculate Tabulated Total Scores
Two Parameter Choice IRT Model MCMC
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.
Useful links