General-purpose MCMC and SMC samplers, as well as plot and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.
Version: 0.1.8 Depends: R (≥ 3.1.2) Imports: coda, emulator, mvtnorm, tmvtnorm, IDPmisc, Rcpp (≥ 0.12.12), ellipse, numDeriv, msm, MASS, Matrix, stats, utils, graphics, DHARMa, gap, bridgesampling LinkingTo: Rcpp Suggests: DEoptim, lhs, sensitivity, knitr, rmarkdown, roxygen2, testthat Published: 2023-01-30 DOI: 10.32614/CRAN.package.BayesianTools Author: Florian Hartig [aut, cre], Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb] Maintainer: Florian Hartig <florian.hartig at biologie.uni-regensburg.de> BugReports: https://github.com/florianhartig/BayesianTools/issues License: GPL-3 URL: https://github.com/florianhartig/BayesianTools NeedsCompilation: yes Materials: NEWS In views: Bayesian CRAN checks: BayesianTools results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesianTools to link to this page.
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