Example
Package: ssgraph 1.16
ssgraph: Bayesian Graph Structure Learning using Spike-and-Slab Priors
Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.
Authors:
ssgraph_1.16.tar.gz
ssgraph_1.16.zip(r-4.7)ssgraph_1.16.zip(r-4.6)ssgraph_1.16.zip(r-4.5)
ssgraph_1.16.tgz(r-4.6-x86_64)ssgraph_1.16.tgz(r-4.6-arm64)ssgraph_1.16.tgz(r-4.5-x86_64)ssgraph_1.16.tgz(r-4.5-arm64)
ssgraph_1.16.tar.gz(r-4.7-arm64)ssgraph_1.16.tar.gz(r-4.7-x86_64)ssgraph_1.16.tar.gz(r-4.6-arm64)ssgraph_1.16.tar.gz(r-4.6-x86_64)
ssgraph_1.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ssgraph/json (API)
| # Install 'ssgraph' in R: |
| install.packages('ssgraph', repos = c('https://rezamoammadi.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cedf8da077. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 159 | ||
| linux-devel-x86_64 | OK | 216 | ||
| source / vignettes | OK | 274 | ||
| linux-release-arm64 | OK | 163 | ||
| linux-release-x86_64 | OK | 175 | ||
| macos-release-arm64 | OK | 89 | ||
| macos-release-x86_64 | OK | 267 | ||
| macos-oldrel-arm64 | OK | 167 | ||
| macos-oldrel-x86_64 | OK | 235 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 103 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 182 |
Exports:plot.ssgraphpredict.ssgraphprint.ssgraphssgraphsummary.ssgraph
Dependencies:BDgraphclicpp11farverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMatrixpkgconfigpROCR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Graphical Estimation using Spike-and-Slab Priors | ssgraph-package copula_C copula_S |
| Plot function for 'S3' class '"ssgraph"' | plot.ssgraph |
| Predict function for 'S3' class "'bdgraph'" | predict.ssgraph |
| Print function for 'S3' class '"ssgraph"' | print.ssgraph |
| Algorithm for graphical models using spike-and-slab priors | ssgraph |
| Summary function for 'S3' class '"ssgraph"' | summary.ssgraph |
