The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

potts: Markov Chain Monte Carlo for Potts Models

Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts, 1952, <doi:10.1017/S0305004100027419>), 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, <doi:10.1103/PhysRevLett.58.86>) so MCMC is fast. Do maximum composite likelihood estimation of parameters (Besag, 1975, <doi:10.2307/2987782>, Lindsay, 1988, <doi:10.1090/conm/080>).

Version: 0.5-11
Depends: R (≥ 3.6.0)
Imports: stats, graphics
Suggests: pooh (≥ 0.2)
Published: 2022-08-12
DOI: 10.32614/CRAN.package.potts
Author: Charles J. Geyer and Leif Johnson
Maintainer: Charles J. Geyer <charlie at stat.umn.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stat.umn.edu/geyer/mcmc/
NeedsCompilation: yes
Materials: NEWS ChangeLog
CRAN checks: potts results

Documentation:

Reference manual: potts.pdf
Vignettes: CLL Crash Course

Downloads:

Package source: potts_0.5-11.tar.gz
Windows binaries: r-devel: potts_0.5-11.zip, r-release: potts_0.5-11.zip, r-oldrel: potts_0.5-11.zip
macOS binaries: r-release (arm64): potts_0.5-11.tgz, r-oldrel (arm64): potts_0.5-11.tgz, r-release (x86_64): potts_0.5-11.tgz, r-oldrel (x86_64): potts_0.5-11.tgz
Old sources: potts archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=potts to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.