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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0), RTMB |
| Imports: | R6, MASS |
| Suggests: | knitr, rmarkdown, GPArotation, future, future.apply, progressr |
| Published: | 2026-06-01 |
| DOI: | 10.32614/CRAN.package.BayesRTMB |
| Author: | Hiroshi Shimizu [aut, cre] |
| Maintainer: | Hiroshi Shimizu <simizu706 at gmail.com> |
| BugReports: | https://github.com/norimune/BayesRTMB/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/norimune/BayesRTMB, https://norimune.github.io/BayesRTMB/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | BayesRTMB results |
| Package source: | BayesRTMB_0.1.1.tar.gz |
| Windows binaries: | r-devel: BayesRTMB_0.1.1.zip, r-release: BayesRTMB_0.1.1.zip, r-oldrel: BayesRTMB_0.1.1.zip |
| macOS binaries: | r-release (arm64): BayesRTMB_0.1.1.tgz, r-oldrel (arm64): BayesRTMB_0.1.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): BayesRTMB_0.1.1.tgz |
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