Package: adaptMCMC
Type: Package
Title: Implementation of a Generic Adaptive Monte Carlo Markov Chain
        Sampler
Version: 1.5
Date: 2024-01-29
Author: Andreas Scheidegger, <andreas.scheidegger@eawag.ch>, <scheidegger.a@gmail.com>
Maintainer: Andreas Scheidegger <andreas.scheidegger@eawag.ch>
Description: Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.14.1), parallel, coda, Matrix
Imports: ramcmc
URL: https://github.com/scheidan/adaptMCMC
BugReports: https://github.com/scheidan/adaptMCMC/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2024-01-29 10:01:50 UTC; scheidan
Repository: CRAN
Date/Publication: 2024-01-29 23:50:15 UTC
Built: R 4.6.0; ; 2026-04-25 23:25:11 UTC; unix
