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 [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RBaM to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4