BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

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.

Package details

AuthorFlorian Hartig [aut, cre] (<>), Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]
MaintainerFlorian Hartig <>
Package repositoryView on CRAN
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BayesianTools documentation built on Dec. 10, 2019, 1:08 a.m.