Package: BayesRTMB
Type: Package
Title: Bayesian Inference Using 'RTMB'
Version: 0.4.0
Authors@R: person("Hiroshi", "Shimizu", email = "simizu706@gmail.com", role = c("aut", "cre"))
Description: Provides tools for Markov chain Monte Carlo (MCMC) and
        Maximum A Posteriori (MAP) estimation utilizing the 'RTMB'
        package. It supports various statistical models including
        generalized linear mixed models, factor analysis, item response
        theory, and multidimensional unfolding. The package allows
        users to easily transition between frequentist and Bayesian
        paradigms using a unified interface. Automatic differentiation
        and Laplace approximation follow Kristensen et al. (2016)
        <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the
        No-U-Turn Sampler described by Hoffman and Gelman (2014)
        <https://jmlr.org/papers/v15/hoffman14a.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0), RTMB
Imports: R6, MASS
URL: https://github.com/norimune/BayesRTMB,
        https://norimune.github.io/BayesRTMB/
BugReports: https://github.com/norimune/BayesRTMB/issues
Suggests: knitr, rmarkdown, GPArotation, future
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.3.3
Repository: https://norimune.r-universe.dev
Date/Publication: 2026-09-10 10:48:23 UTC
RemoteUrl: https://github.com/norimune/bayesrtmb
RemoteRef: HEAD
RemoteSha: 7761adfa5c8884db7cf067a9d93c142bfa7c0ee8
NeedsCompilation: no
Packaged: 2026-10-11 15:47:34 UTC; root
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>