Package: mcmc
Version: 0.9-4
Date: 2015-07-16
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 (>= 2.10.0)
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, Annals of Statistics, 2012, 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: 2015-07-16 21:03:00 UTC; geyer
Repository: CRAN
Date/Publication: 2015-07-17 00:31:01
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