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RBaM: Bayesian Modeling: Estimate a Computer Model and Make Uncertain Predictions

An interface to the 'BaM' (Bayesian Modeling) engine, a 'Fortran'-based executable aimed at estimating a model with a Bayesian approach and using it for prediction, with a particular focus on uncertainty quantification. Classes are defined for the various building blocks of 'BaM' inference (model, data, error models, Markov Chain Monte Carlo (MCMC) samplers, predictions). The typical usage is as follows: (1) specify the model to be estimated; (2) specify the inference setting (dataset, parameters, error models...); (3) perform Bayesian-MCMC inference; (4) read, analyse and use MCMC samples; (5) perform prediction experiments. Technical details are available (in French) in Renard (2017) <https://hal.science/hal-02606929v1>. Examples of applications include Mansanarez et al. (2019) <doi:10.1029/2018WR023389>, Le Coz et al. (2021) <doi:10.1002/hyp.14169>, Perret et al. (2021) <doi:10.1029/2020WR027745>, Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Perret et al. (2023) <doi:10.1061/JHEND8.HYENG-13101>.

Version: 1.0.1
Depends: R (≥ 4.0.0)
Imports: ggplot2, gridExtra, R.utils, utils, grDevices, stats, rjson, rlang, tools, tidyr
Suggests: rmarkdown
Published: 2025-07-10
DOI: 10.32614/CRAN.package.RBaM
Author: Benjamin Renard ORCID iD [aut, cre, cph], INRAE [fnd], Ministère de la Transition Ecologique - SCHAPI [fnd]
Maintainer: Benjamin Renard <benjamin.renard at inrae.fr>
BugReports: https://github.com/BaM-tools/RBaM/issues
License: GPL-3
URL: https://github.com/BaM-tools/RBaM
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RBaM results

Documentation:

Reference manual: RBaM.pdf

Downloads:

Package source: RBaM_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: RBaM_1.0.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): RBaM_1.0.1.tgz, r-oldrel (arm64): RBaM_1.0.1.tgz, r-release (x86_64): RBaM_1.0.1.tgz, r-oldrel (x86_64): RBaM_1.0.1.tgz

Linking:

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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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