Package: potts 0.5-11
potts: Markov Chain Monte Carlo for Potts Models
Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts, 1952, <doi:10.1017/S0305004100027419>), which are the multi-color generalization of Ising models (so, as as special case, also simulates Ising models). Use the Swendsen-Wang algorithm (Swendsen and Wang, 1987, <doi:10.1103/PhysRevLett.58.86>) so MCMC is fast. Do maximum composite likelihood estimation of parameters (Besag, 1975, <doi:10.2307/2987782>, Lindsay, 1988, <doi:10.1090/conm/080>).
Authors:
potts_0.5-11.tar.gz
potts_0.5-11.zip(r-4.7-x86_64)potts_0.5-11.zip(r-4.7-arm64)potts_0.5-11.zip(r-4.6-x86_64)potts_0.5-11.zip(r-4.6-arm64)potts_0.5-11.zip(r-4.5-x86_64)
potts_0.5-11.tgz(r-4.6-x86_64)potts_0.5-11.tgz(r-4.6-arm64)potts_0.5-11.tgz(r-4.5-x86_64)potts_0.5-11.tgz(r-4.5-arm64)
potts_0.5-11.tar.gz(r-4.7-arm64)potts_0.5-11.tar.gz(r-4.7-x86_64)potts_0.5-11.tar.gz(r-4.6-arm64)potts_0.5-11.tar.gz(r-4.6-x86_64)
potts_0.5-11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
potts/json (API)
| # Install 'potts' in R: |
| install.packages('potts', repos = c('https://cjgeyer.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 from:364fd58828. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 98 | ||
| linux-devel-x86_64 | OK | 107 | ||
| source / vignettes | OK | 255 | ||
| linux-release-arm64 | OK | 98 | ||
| linux-release-x86_64 | OK | 108 | ||
| macos-release-arm64 | OK | 132 | ||
| macos-release-x86_64 | OK | 283 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| macos-oldrel-x86_64 | OK | 286 | ||
| windows-devel-arm64 | OK | 320 | ||
| windows-devel-x86_64 | OK | 123 | ||
| windows-release-arm64 | OK | 308 | ||
| windows-release-x86_64 | OK | 74 | ||
| windows-oldrel-x86_64 | OK | 71 | ||
| wasm-release | OK | 94 |
Exports:calc_tcalc_t_fullcalc_t_innergridcomposite.llfourpixelfourpixel.nonoverlapgenerate_t_cachegenfourbyfourgenfourpixelgengridcachegensingletongenthreebythreegentwopixelgr.composite.llinspectPottsninepixel.nonoverlappackPottspottssingletonsixteenpixel.nonoverlaptwopixeltwopixel.nonoverlapunpackPotts
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cache calculated Canonical Statistics for Potts Models. | fourpixel fourpixel.nonoverlap generate_t_cache genfourbyfour genfourpixel gengridcache gensingleton genthreebythree gentwopixel ninepixel.nonoverlap singleton sixteenpixel.nonoverlap twopixel twopixel.nonoverlap |
| Calculate Canonical Statistic for Potts Model | calc_t calc_t_full calc_t_innergrid |
| Composite Log Likelihood for Potts Models | composite.ll gr.composite.ll |
| Plot Potts Model Data | image.raw |
| Transform Potts Model Data | inspectPotts packPotts unpackPotts |
| Potts Models | potts potts.potts potts.raw |