{ "_id": "6a267116794753ddbc3ea7c1", "Package": "RBaM", "Type": "Package", "Title": "Bayesian Modeling: Estimate a Computer Model and Make Uncertain\nPredictions", "Version": "1.1.2", "Authors@R": "c(\nperson(\"Benjamin\", \"Renard\", email = \"benjamin.renard@inrae.fr\",role = c(\"aut\", \"cre\",\"cph\"),comment = c(ORCID = \"0000-0001-8447-5430\")),\nperson(\"INRAE\", role = c(\"fnd\")),\nperson(\"Ministère de la Transition Ecologique - SCHAPI\", role = c(\"fnd\")))", "Description": "An interface to the 'BaM' (Bayesian Modeling) engine, a\n'Fortran'-based executable aimed at estimating a model with a\nBayesian approach and using it for prediction, with a\nparticular focus on uncertainty quantification. Classes are\ndefined for the various building blocks of 'BaM' inference\n(model, data, error models, Markov Chain Monte Carlo (MCMC)\nsamplers, predictions). The typical usage is as follows: (1)\nspecify the model to be estimated; (2) specify the inference\nsetting (dataset, parameters, error models...); (3) perform\nBayesian-MCMC inference; (4) read, analyse and use MCMC\nsamples; (5) perform prediction experiments. Technical details\nare available (in French) in Renard (2017)\n. Examples of applications\ninclude Mansanarez et al. (2019) , Le\nCoz et al. (2021) , Perret et al. (2021)\n, Darienzo et al. (2021)\n and Perret et al. (2023)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "URL": "https://github.com/BaM-tools/RBaM", "BugReports": "https://github.com/BaM-tools/RBaM/issues", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://bam-tools.r-universe.dev", "Date/Publication": "2026-04-09 15:15:24 UTC", "RemoteUrl": "https://github.com/bam-tools/rbam", "RemoteRef": "HEAD", "RemoteSha": "5108898da7d63636322c3ff45b1b8adafd716a74", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 07:32:20 UTC", "User": "root" }, "Author": "Benjamin Renard [aut, cre, cph] (ORCID:\n),\nINRAE [fnd],\nMinistère de la Transition Ecologique - SCHAPI [fnd]", "Maintainer": "Benjamin Renard ", "MD5sum": "dd7a0f490dd542f6371b910bbf446d37", "_user": "bam-tools", "_type": "src", "_file": "RBaM_1.1.2.tar.gz", "_fileid": "46f2ca98fc4328a12f593d0101ecadf18c97616ce6c163d905e0fc276ba25d9c", "_filesize": 594378, "_sha256": 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"object": "SauzeGaugings", "class": [ "data.frame" ], "fields": [ "H", "Q", "uQ" ], "rows": 38, "table": true, "tojson": true }, { "name": "twoPopulations", "title": "Evolution of two populations", "object": "twoPopulations", "class": [ "data.frame" ], "fields": [ "t", "T1", "T2", "P1", "P2" ], "rows": 101, "table": true, "tojson": true } ], "_help": [ { "page": "BaM", "title": "Run BaM", "topics": [ "BaM" ] }, { "page": "blocDiag", "title": "Bloc-diagonal matrix constructor", "topics": [ "blocDiag" ] }, { "page": "dataset", "title": "dataset object constructor.", "topics": [ "dataset" ] }, { "page": "densityPlot", "title": "densityPlot", "topics": [ "densityPlot" ] }, { "page": "downloadBaM", "title": "BaM downloader", "topics": [ "downloadBaM" ] }, { "page": "getAwPfromBathy", "title": "Bathymetry interpreter", "topics": [ "getAwPfromBathy" ] }, { "page": "getCatalogue", "title": "BaM catalogue", "topics": [ "getCatalogue" ] }, { "page": "getInitPar", "title": "Get initial values", "topics": [ "getInitPar" ] }, { "page": "getNames", "title": "Get object names", "topics": [ "getNames" ] }, { "page": "getParNames", "title": "Get parameter names", "topics": [ "getParNames" ] }, { "page": "getPathToBaM", "title": "Path to BaM", "topics": [ "getPathToBaM" ] }, { "page": "llfunk_iid_Gaussian", "title": "Log-likelihood function: iid Gaussian", "topics": [ "llfunk_iid_Gaussian" ] }, { "page": "llfunk_iLinear_Gaussian", "title": "Log-likelihood function: independent-linear Gaussian", "topics": [ "llfunk_iLinear_Gaussian" ] }, { "page": "logLikelihood_BaM", "title": "BaM log-likelihood", "topics": [ "logLikelihood_BaM" ] }, { "page": "logPosterior_BaM", "title": "BaM log-posterior", "topics": [ "logPosterior_BaM" ] }, { "page": "logPosterior_BaM_wrapped", "title": "BaM log-posterior", "topics": [ "logPosterior_BaM_wrapped" ] }, { "page": "logPrior_Flat", "title": "Log-prior function: improper flat prior", "topics": [ "logPrior_Flat" ] }, { "page": "MCMC_AM", "title": 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