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).
- Version0.5-11
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/12/2022
Documentation
Team
Charles J. Geyer
MaintainerShow author detailsLeif Johnson
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Dependencies
- Suggests1 package