Package: ssgraph 1.15

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:Reza Mohammadi [aut, cre]

ssgraph_1.15.tar.gz
ssgraph_1.15.zip(r-4.5)ssgraph_1.15.zip(r-4.4)ssgraph_1.15.zip(r-4.3)
ssgraph_1.15.tgz(r-4.4-x86_64)ssgraph_1.15.tgz(r-4.4-arm64)ssgraph_1.15.tgz(r-4.3-x86_64)ssgraph_1.15.tgz(r-4.3-arm64)
ssgraph_1.15.tar.gz(r-4.5-noble)ssgraph_1.15.tar.gz(r-4.4-noble)
ssgraph_1.15.tgz(r-4.4-emscripten)ssgraph_1.15.tgz(r-4.3-emscripten)
ssgraph.pdf |ssgraph.html
ssgraph/json (API)
NEWS

# Install 'ssgraph' in R:
install.packages('ssgraph', repos = c('https://rezamoammadi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

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

3.00 score 2 stars 5 scripts 414 downloads 1 mentions 5 exports 34 dependencies

Last updated 2 years agofrom:15e27003a9. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64NOTENov 03 2024
R-4.5-linux-x86_64NOTENov 03 2024
R-4.4-win-x86_64NOTENov 03 2024
R-4.4-mac-x86_64NOTENov 03 2024
R-4.4-mac-aarch64NOTENov 03 2024
R-4.3-win-x86_64NOTENov 03 2024
R-4.3-mac-x86_64NOTENov 03 2024
R-4.3-mac-aarch64NOTENov 03 2024

Exports:plot.ssgraphpredict.ssgraphprint.ssgraphssgraphsummary.ssgraph

Dependencies:BDgraphclicolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpROCR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr

ssgraph with simple example

Rendered fromssgraph-example.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2022-12-24
Started: 2022-05-09