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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, <doi:10.1214/12AOS1048>, function morph.metrop), which achieves geometric ergodicity by change of variable.
Package details 


Author  Charles J. Geyer <[email protected]> and Leif T. Johnson <[email protected]> 
Maintainer  Charles J. Geyer <[email protected]> 
License  MIT + file LICENSE 
Version  0.96 
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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