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 <charlie@stat.umn.edu> and Leif Johnson <ltjohnson@google.com>
Date of publication2017-03-16 22:58:12 UTC
MaintainerCharles J. Geyer <charlie@stat.umn.edu>
LicenseGPL (>= 2)
URL http://www.stat.umn.edu/geyer/mcmc/
Package repositoryView on CRAN
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potts documentation built on May 29, 2017, 7:19 p.m.