Package: mcmc
Version: 0.9-7
Date: 2020-03-20
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
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: 2020-03-21 00:49:36 UTC; geyer
Repository: CRAN
Date/Publication: 2020-03-21 19:00:13 UTC
Built: R 3.5.2; x86_64-apple-darwin15.6.0; 2020-03-22 05:34:41 UTC; unix
Archs: mcmc.so.dSYM
