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.

Version: 0.1.4
Depends: R (≥ 3.1.2)
Imports: coda, emulator, mvtnorm, tmvtnorm, IDPmisc, Rcpp (≥ 0.12.12), ellipse, numDeriv, msm, MASS, Matrix, stats, utils, graphics, DHARMa, bridgesampling
LinkingTo: Rcpp
Suggests: DEoptim, lhs, sensitivity, knitr, rmarkdown, roxygen2, testthat, gap
Published: 2017-12-20
Author: Florian Hartig [aut, cre], Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb]
Maintainer: Florian Hartig <florian.hartig at>
License: CC BY-SA 4.0
NeedsCompilation: yes
Materials: NEWS
CRAN checks: BayesianTools results


Reference manual: BayesianTools.pdf
Vignettes: Manual for the BayesianTools R package
Package source: BayesianTools_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: BayesianTools_0.1.4.tgz
OS X Mavericks binaries: r-oldrel: BayesianTools_0.1.4.tgz
Old sources: BayesianTools archive


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