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

Package: ltbayes
Type: Package
Title: Simulation-Based Bayesian Inference for Latent Traits of Item
Response Models
Version: 0.3
Date: 2014-07-28
Author: Timothy R. Johnson
Maintainer: Timothy R. Johnson <trjohns@uidaho.edu>
Description: 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.
Depends: R (>= 3.1.1), mcmc (>= 0.9-3), MHadaptive (>= 1.1-8), numDeriv
(>= 2012.9-1)
Suggests: coda, mcmcplots, ggmcmc, knitr, ggplot2, gridExtra, reshape2
License: GPL (>= 2)
VignetteBuilder: knitr
Packaged: 2014-07-28 16:17:20 UTC; trjohns
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-07-28 18:32:54