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.
- Version0.1.8
- R version≥ 3.1.2
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/30/2023
Documentation
Team
Florian Hartig
Maximilian Pichler
Show author detailsRolesContributorFrancesco Minunno
Show author detailsRolesAuthorStefan Paul
Show author detailsRolesAuthorDavid Cameron
Show author detailsRolesContributorTankred Ott
Show author detailsRolesContributor
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- Imports14 packages
- Suggests7 packages
- Linking To1 package
- Reverse Imports2 packages
- Reverse Suggests4 packages
- Reverse Enhances1 package