Package: GiRaF 1.0.1
Julien Stoehr
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.
Authors:
GiRaF_1.0.1.tar.gz
GiRaF_1.0.1.tar.gz(r-4.5-noble)GiRaF_1.0.1.tar.gz(r-4.4-noble)
GiRaF_1.0.1.tgz(r-4.4-emscripten)GiRaF_1.0.1.tgz(r-4.3-emscripten)
GiRaF.pdf |GiRaF.html✨
GiRaF/json (API)
| # Install 'GiRaF' in R: |
| install.packages('GiRaF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:af59f12990. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 03 2024 |
Exports:exact.mrfNC.mrfsampler.mrf
Dependencies:BHRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A toolbox for Gibbs Random Fields analysis | GiRaF-package GiRaF |
| Exact sampler for Gibbs Random Fields | exact.mrf |
| Normalising constant of a Gibbs Random Field | NC.mrf |
| MCMC samplers for Gibbs Random Fields | sampler.mrf |