Simulation-Based Bayesian Inference for Latent Traits of Item Response Models

Functions for simulating realizations from the posterior distribution of a latent trait of an item response model. Distributions are conditional on one or a subset of response patterns (e.g., sum scores). Functions for computing likelihoods, Fisher and observed information, posterior modes, and profile likelihood confidence intervals are also included. These functions are designed to be easily amenable to user-specified models.


Reference manual

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0.4 by Timothy R. Johnson, a year ago

Browse source code at

Authors: Timothy R. Johnson

Documentation:   PDF Manual  

Task views: Psychometric Models and Methods

GPL (>= 2) license

Depends on mcmc, MHadaptive, numDeriv

Suggests coda, mcmcplots, ggmcmc, knitr, ggplot2, gridExtra, reshape2

See at CRAN