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.


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install.packages("BayesianTools")

0.1.1 by Florian Hartig, 24 days ago


https://github.com/florianhartig/BayesianTools


Report a bug at https://github.com/florianhartig/BayesianTools/issues


Browse source code at https://github.com/cran/BayesianTools


Authors: Florian Hartig [aut, cre], Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb]


Documentation:   PDF Manual  


CC BY-SA 4.0 license


Imports coda, vioplot, emulator, mvtnorm, IDPmisc, Rcpp, ellipse, numDeriv, msm, MASS, Matrix, stats, utils, graphics

Suggests DEoptim, lhs, sensitivity, knitr, rmarkdown, roxygen2, testthat, gap

Linking to Rcpp


See at CRAN