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potts  

Markov Chain Monte Carlo for Potts Models
View on CRAN: Click here


Download and install potts package within the R console
Install from CRAN:
install.packages("potts")

Install from Github:
library("remotes")
install_github("cran/potts")

Install by package version:
library("remotes")
install_version("potts", "0.5-11")



Attach the package and use:
library("potts")
Maintained by
Charles J. Geyer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-22
Latest Update: 2022-08-12
Description:
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, ).
How to cite:
Charles J. Geyer (2009). potts: Markov Chain Monte Carlo for Potts Models. R package version 0.5-11, https://cran.r-project.org/web/packages/potts
Previous versions and publish date:
0.3-4 (2009-09-22 10:22), 0.4 (2009-10-18 11:20), 0.5-1 (2011-08-12 07:10), 0.5-2 (2014-04-02 08:03), 0.5-3 (2015-06-07 01:06), 0.5-4 (2015-07-05 23:55), 0.5-6 (2017-03-15 23:45), 0.5-7 (2017-03-16 23:58), 0.5-8 (2019-03-10 08:10), 0.5-9 (2020-03-23 12:20), 0.5 (2010-06-16 06:20)
Other packages that cited potts R package
View potts citation profile
Other R packages that potts depends, imports, suggests or enhances
Functions, R codes and Examples using the potts R package
Some associated functions: cachet . calct . cll . image.raw . packPotts . potts . 
Some associated R codes: cachet.R . calct.R . cll.R . image.raw.R . packPotts.R . potts.R .  Full potts package functions and examples
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