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] (<https://orcid.org/0000-0002-6255-9059>), Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]
MaintainerFlorian Hartig <florian.hartig@biologie.uni-regensburg.de>
LicenseGPL-3
Version0.1.7
URL https://github.com/florianhartig/BayesianTools
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesianTools")

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BayesianTools documentation built on Dec. 10, 2019, 1:08 a.m.