General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics R package BayesianTools version 0.1.9 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) General-purpose MCMC and SMC samplers, as well as plots 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. Software 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, sensitivity, knitr, rmarkdown, roxygen2, testthat Florian Hartig <florian.hartig@biologie.uni-regensburg.de> Comprehensive R Archive Network (CRAN) Florian Hartig [aut, cre] (ORCID: <https://orcid.org/0000-0002-6255-9059>), Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb] GPL-3 2026-03-10 application/tgz https://CRAN.R-project.org/package=BayesianTools doi:10.32614/CRAN.package.BayesianTools