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Allows calculation on, and sampling from Gibbs Random Fields, and more precisely general homogeneous Potts model. The primary tool is the exact computation of the intractable normalising constant for small rectangular lattices. Beside the latter function, it contains method that give exact sample from the likelihood for small enough rectangular lattices or approximate sample from the likelihood using MCMC samplers for large lattices.
Version: | 1.0.1 |
Imports: | methods, Rcpp (≥ 0.12.3) |
LinkingTo: | Rcpp, RcppArmadillo, BH |
Suggests: | knitr |
Published: | 2020-10-14 |
DOI: | 10.32614/CRAN.package.GiRaF |
Author: | Julien Stoehr, Pierre Pudlo and Nial Friel |
Maintainer: | Julien Stoehr <julien.stoehr at ucd.ie> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
CRAN checks: | GiRaF results |
Reference manual: | GiRaF.pdf |
Vignettes: |
GiRaF-introduction |
Package source: | GiRaF_1.0.1.tar.gz |
Windows binaries: | r-devel: GiRaF_1.0.1.zip, r-release: GiRaF_1.0.1.zip, r-oldrel: GiRaF_1.0.1.zip |
macOS binaries: | r-release (arm64): GiRaF_1.0.1.tgz, r-oldrel (arm64): GiRaF_1.0.1.tgz, r-release (x86_64): GiRaF_1.0.1.tgz, r-oldrel (x86_64): GiRaF_1.0.1.tgz |
Old sources: | GiRaF archive |
Reverse imports: | DR.SC, PRECAST |
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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.
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