potts: Markov Chain Monte Carlo for Potts Models
Version 0.5-7

Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts, 1952, ), which are the multi-color generalization of Ising models (so, as as special case, also simulates Ising models). Use the Swendsen-Wang algorithm (Swendsen and Wang, 1987, ) so MCMC is fast. Do maximum composite likelihood estimation of parameters (Besag, 1975, , Lindsay, 1988, ).

Package details

AuthorCharles J. Geyer <[email protected]> and Leif Johnson <[email protected]>
Date of publication2017-03-16 22:58:12 UTC
MaintainerCharles J. Geyer <[email protected]>
LicenseGPL (>= 2)
Version0.5-7
URL http://www.stat.umn.edu/geyer/mcmc/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("potts")

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potts documentation built on May 29, 2017, 7:19 p.m.