Package: PottsUtils 0.3-3.1

Dai Feng

PottsUtils: Utility Functions of the Potts Models

There are three sets of functions. The first produces basic properties of a graph and generates samples from multinomial distributions to facilitate the simulation functions (they maybe used for other purposes as well). The second provides various simulation functions for a Potts model in Potts, R. B. (1952) <doi:10.1017/S0305004100027419>. The third currently includes only one function which computes the normalizing constant of a Potts model based on simulation results.

Authors:Dai Feng [aut, cre], Luke Tierney [ctb]

PottsUtils_0.3-3.1.tar.gz
PottsUtils_0.3-3.1.tar.gz(r-4.7-arm64)PottsUtils_0.3-3.1.tar.gz(r-4.7-x86_64)PottsUtils_0.3-3.1.tar.gz(r-4.6-arm64)PottsUtils_0.3-3.1.tar.gz(r-4.6-x86_64)
PottsUtils_0.3-3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PottsUtils/json (API)

# Install 'PottsUtils' in R:
install.packages('PottsUtils', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

2.18 score 15 scripts 622 downloads 11 exports 25 dependencies

Last updated from:71cee0b322. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK189
source / vignettesOK150
linux-release-arm64OK145
linux-release-x86_64OK128
wasm-releaseOK108

Exports:BlocksGibbsgetBlocksgetConfsgetEdgesgetNCgetNeighborsgetPatchesgetWeightsrPotts1SWWolff

Dependencies:abindbootclicodagluelatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmiscFmvtnormquantregR2jagsR2WinBUGSrjagsrlangSparseMstringistringrsurvivalvctrs

Using the PottsUtils Package

Rendered fromIntro.Rnwusingutils::Sweaveon Jun 11 2026.

Last update: 2014-02-24
Started: 2014-02-24