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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 (may not be active yet) |
| 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: not available, r-release: not available, r-oldrel: not available |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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