Package: mcmc
Version: 0.9-5
Date: 2017-04-15
Title: Markov Chain Monte Carlo
Author: Charles J. Geyer <charlie@stat.umn.edu> and Leif T. Johnson
     <ltjohnson@google.com>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>
Depends: R (>= 3.0.2)
Imports: stats, compiler
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, <https://doi.org/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: 2017-04-15 22:07:33 UTC; geyer
Repository: CRAN
Date/Publication: 2017-04-16 10:23:50 UTC
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 06:34:39 UTC; windows
Archs: i386, x64
