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 uidaho.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Psychometrics
CRAN checks: ltbayes results

Downloads:

Reference manual: ltbayes.pdf
Vignettes: User-Defined Models
Plots from Johnson & Kuhn (2014)
Package source: ltbayes_0.4.tar.gz
Windows binaries: r-devel: ltbayes_0.4.zip, r-devel-gcc8: ltbayes_0.4.zip, r-release: ltbayes_0.4.zip, r-oldrel: ltbayes_0.4.zip
OS X binaries: r-release: ltbayes_0.4.tgz, r-oldrel: ltbayes_0.4.tgz
Old sources: ltbayes archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ltbayes to link to this page.