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 |
| 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 |
| 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 suggests: | ProfoundData, r3PG |
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