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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,
Package details 


Author  Charles J. Geyer <[email protected]> and Leif T. Johnson <[email protected]> 
Date of publication  20170416 10:23:50 UTC 
Maintainer  Charles J. Geyer <[email protected]> 
License  MIT + file LICENSE 
Version  0.95 
URL  http://www.stat.umn.edu/geyer/mcmc/ https://github.com/cjgeyer/mcmc 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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