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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | 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 3.4.2; x86_64-pc-linux-gnu; 'Wed, 06 Sep 2017 22:35:31 +0200'; unix
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