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 |
| 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-release: ltbayes_0.4.zip, r-oldrel: ltbayes_0.4.zip |
| macOS binaries: | r-release: ltbayes_0.4.tgz, r-oldrel: ltbayes_0.4.tgz |
| Old sources: | ltbayes archive |
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