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>.
README
This directory will be empty after installing RBaM, but could contain the BaM executable. To download it, please use the downloadBaM() function.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
rolling linux/jammy R-4.5 | RBaM_1.1.2.tar.gz |
252.5 KiB |
1.1.2 |
rolling linux/noble R-4.5 | RBaM_1.1.2.tar.gz |
252.5 KiB |
1.1.2 |
rolling source/ R- | RBaM_1.1.2.tar.gz |
383.1 KiB |
1.1.2 |
latest linux/jammy R-4.5 | RBaM_1.1.2.tar.gz |
252.5 KiB |
1.1.2 |
latest linux/noble R-4.5 | RBaM_1.1.2.tar.gz |
252.5 KiB |
1.1.2 |
latest source/ R- | RBaM_1.1.2.tar.gz |
383.1 KiB |
1.1.2 |
2026-04-26 source/ R- | RBaM_1.1.2.tar.gz |
383.1 KiB |
1.1.2 |
2026-04-23 source/ R- | RBaM_1.1.2.tar.gz |
383.1 KiB |
1.1.2 |
2026-04-09 windows/windows R-4.5 | RBaM_1.1.2.zip |
257.6 KiB |