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: | 0.1.8 |
| 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: | 2023-01-30 |
| DOI: | 10.32614/CRAN.package.BayesianTools |
| Author: | Florian Hartig [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 |
| In views: | Bayesian |
| CRAN checks: | BayesianTools results |