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 biologie.uni-regensburg.de> |
BugReports: | https://github.com/florianhartig/BayesianTools/issues |
License: | CC BY-SA 4.0 |
URL: | https://github.com/florianhartig/BayesianTools |
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: BayesianTools_0.1.4.zip, r-release: BayesianTools_0.1.4.zip, r-oldrel: BayesianTools_0.1.4.zip |
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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