ltbayes: 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.

Version: 0.4
Depends: R (≥ 3.3.1), mcmc (≥ 0.9-4), MHadaptive (≥ 1.1-8), numDeriv (≥ 2016.8-1)
Suggests: coda, mcmcplots, ggmcmc, knitr, ggplot2, gridExtra, reshape2
Published: 2016-10-29
Author: Timothy R. Johnson
Maintainer: Timothy R. Johnson <trjohns at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Psychometrics
CRAN checks: ltbayes results


Reference manual: ltbayes.pdf
Vignettes: User-Defined Models
Plots from Johnson & Kuhn (2014)
Package source: ltbayes_0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: ltbayes_0.4.tgz
OS X Mavericks binaries: r-oldrel: ltbayes_0.4.tgz
Old sources: ltbayes archive


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