The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

GiRaF: Gibbs Random Fields Analysis

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

Documentation:

Reference manual: GiRaF.pdf
Vignettes: GiRaF-introduction

Downloads:

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 dependencies:

Reverse imports: DR.SC, PRECAST

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GiRaF to link to this page.

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.