Package: mlsbm 0.99.4

mlsbm: Efficient Estimation of Bayesian SBMs & MLSBMs

Fit Bayesian stochastic block models (SBMs) and multi-level stochastic block models (MLSBMs) using efficient Gibbs sampling implemented in 'Rcpp'. The models assume symmetric, non-reflexive graphs (no self-loops) with unweighted, binary edges. Data are input as a symmetric binary adjacency matrix (SBMs), or list of such matrices (MLSBMs).

Authors:Carter Allen [aut, cre], Dongjun Chung [aut]

mlsbm_0.99.4.tar.gz
mlsbm_0.99.4.zip(r-4.5)mlsbm_0.99.4.zip(r-4.4)mlsbm_0.99.4.zip(r-4.3)
mlsbm_0.99.4.tgz(r-4.5-x86_64)mlsbm_0.99.4.tgz(r-4.5-arm64)mlsbm_0.99.4.tgz(r-4.4-x86_64)mlsbm_0.99.4.tgz(r-4.4-arm64)mlsbm_0.99.4.tgz(r-4.3-x86_64)mlsbm_0.99.4.tgz(r-4.3-arm64)
mlsbm_0.99.4.tar.gz(r-4.5-noble)mlsbm_0.99.4.tar.gz(r-4.4-noble)
mlsbm_0.99.4.tgz(r-4.4-emscripten)mlsbm_0.99.4.tgz(r-4.3-emscripten)
mlsbm.pdf |mlsbm.html
mlsbm/json (API)

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

Bug tracker:https://github.com/carter-allen/mlsbm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • AL - Simulated 3-layer network data

On CRAN:

Conda:

cpp

2.70 score 2 scripts 149 downloads 10 exports 69 dependencies

Last updated 3 years agofrom:f42504b709. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-win-x86_64OKMar 05 2025
R-4.5-mac-x86_64OKMar 05 2025
R-4.5-mac-aarch64OKMar 05 2025
R-4.5-linux-x86_64OKMar 05 2025
R-4.4-win-x86_64OKMar 05 2025
R-4.4-mac-x86_64OKMar 05 2025
R-4.4-mac-aarch64OKMar 05 2025
R-4.4-linux-x86_64OKMar 05 2025
R-4.3-win-x86_64OKMar 05 2025
R-4.3-mac-x86_64OKMar 05 2025
R-4.3-mac-aarch64OKMar 05 2025

Exports:col_summarizefit_mlsbmfit_sbmget_scoresmean_CRIplot_connectivity_matrixplot_connectivity_networkremap_canonical2sample_mlsbmsample_sbm

Dependencies:assortheadBHBiocGenericsBiocNeighborsBiocParallelblustercachemcliclustercodetoolscolorspacecpp11dplyrfansifarverfastmapformatRfutile.loggerfutile.optionsgenericsggforceggplot2ggraphggrepelgluegraphlayoutsgridExtragtableigraphisobandjsonlitelabelinglambda.rlatticelifecyclemagrittrMASSMatrixmemoisemgcvmunsellnlmepatchworkpillarpkgconfigpolyclippurrrR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS4Vectorsscalessnowstringistringrsystemfontstibbletidygraphtidyrtidyselecttweenrutf8vctrsviridisviridisLitewithr