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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.
Version: | 0.3-3.1 |
Depends: | R (≥ 3.0.2) |
Imports: | miscF (≥ 0.1-4) |
Published: | 2024-11-11 |
DOI: | 10.32614/CRAN.package.PottsUtils |
Author: | Dai Feng [aut, cre], Luke Tierney [ctb] |
Maintainer: | Dai Feng <daifeng.stat at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | yes |
Materials: | ChangeLog |
CRAN checks: | PottsUtils results |
Reference manual: | PottsUtils.pdf |
Vignettes: |
Using the PottsUtils Package (source) |
Package source: | PottsUtils_0.3-3.1.tar.gz |
Windows binaries: | r-devel: PottsUtils_0.3-3.1.zip, r-release: PottsUtils_0.3-3.1.zip, r-oldrel: PottsUtils_0.3-3.1.zip |
macOS binaries: | r-release (arm64): PottsUtils_0.3-3.1.tgz, r-oldrel (arm64): PottsUtils_0.3-3.1.tgz, r-release (x86_64): PottsUtils_0.3-3.1.tgz, r-oldrel (x86_64): PottsUtils_0.3-3.1.tgz |
Old sources: | PottsUtils archive |
Reverse suggests: | bayesImageS |
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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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