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BayesRTMB
View on CRAN: Click
here
Download and install BayesRTMB package within the R console
Install from CRAN:
install.packages("BayesRTMB")
Install from Github:
library("remotes")
install_github("cran/BayesRTMB") Install by package version:
library("remotes")
install_version("BayesRTMB", "0.1.1") Attach the package and use:
library("BayesRTMB")
Maintained by
Hiroshi Shimizu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-01
Latest Update: 2026-06-01
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>.
How to cite:
Hiroshi Shimizu (2026). BayesRTMB: Bayesian Inference Using 'RTMB'. R package version 0.1.1, https://cran.r-project.org/web/packages/BayesRTMB. Accessed 26 Aug. 2026.
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