Package: mcmc
Version: 0.9-8
Date: 2023-11-14
Title: Markov Chain Monte Carlo
Author: Charles J. Geyer <geyer@umn.edu> and Leif T. Johnson
        <ltjohnson@google.com>
Maintainer: Charles J. Geyer <geyer@umn.edu>
Depends: R (>= 3.6.0)
Imports: stats
Suggests: xtable, Iso
ByteCompile: TRUE
Description: Simulates continuous distributions of random vectors using
        Markov chain Monte Carlo (MCMC).  Users specify the
        distribution by an R function that evaluates the log
        unnormalized density.  Algorithms are random walk Metropolis
        algorithm (function metrop), simulated tempering (function
        temper), and morphometric random walk Metropolis (Johnson and
        Geyer, 2012, <doi:10.1214/12-AOS1048>, function morph.metrop),
        which achieves geometric ergodicity by change of variable.
License: MIT + file LICENSE
URL: http://www.stat.umn.edu/geyer/mcmc/,
        https://github.com/cjgeyer/mcmc
NeedsCompilation: yes
Packaged: 2026-06-23 13:30:32 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2023-11-17 02:39:17 UTC
RemoteUrl: https://github.com/cran/mcmc
RemoteRef: HEAD
RemoteSha: 3c5e40246f781455593c4fef40bf11d79ca58d4a