Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts, 1952, <https://doi.org/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, <https://doi.org/10.1103/PhysRevLett.58.86>) so MCMC is fast. Do maximum composite likelihood estimation of parameters (Besag, 1975, <https://doi.org/10.2307/2987782>, Lindsay, 1988, <https://doi.org/10.1090/conm/080>).
|Author||Charles J. Geyer <[email protected]> and Leif Johnson <[email protected]>|
|Maintainer||Charles J. Geyer <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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