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
Repository: https://scheidan.r-universe.dev
Date/Publication: 2024-01-29 10:02:47 UTC
RemoteUrl: https://github.com/scheidan/adaptmcmc
RemoteRef: HEAD
RemoteSha: b9d2c84673f6c3868510dbb551ef45d3deaf34b8
RemoteSubdir: adaptMCMC
NeedsCompilation: no
Packaged: 2026-09-21 08:56:11 UTC; root