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potts
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]
[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:
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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