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.
|Author||Florian Hartig [aut, cre] (<https://orcid.org/0000-0002-6255-9059>), Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]|
|Maintainer||Florian Hartig <email@example.com>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.