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: 0.1.7
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: 2019-12-09
Author: Florian Hartig ORCID iD [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
CRAN checks: BayesianTools results

Downloads:

Reference manual: BayesianTools.pdf
Vignettes: Manual for the BayesianTools R package
Interfacing your model with R
Package source: BayesianTools_0.1.7.tar.gz
Windows binaries: r-devel: BayesianTools_0.1.7.zip, r-release: BayesianTools_0.1.7.zip, r-oldrel: BayesianTools_0.1.7.zip
macOS binaries: r-release: BayesianTools_0.1.7.tgz, r-oldrel: BayesianTools_0.1.7.tgz
Old sources: BayesianTools archive

Reverse dependencies:

Reverse suggests: ProfoundData, r3PG

Linking:

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