Package: sbm 0.4.7

Julien Chiquet

sbm: Stochastic Blockmodels

A collection of tools and functions to adjust a variety of stochastic blockmodels (SBM). Supports at the moment Simple, Bipartite, 'Multipartite' and Multiplex SBM (undirected or directed with Bernoulli, Poisson or Gaussian emission laws on the edges, and possibly covariate for Simple and Bipartite SBM). See Léger (2016) <doi:10.48550/arXiv.1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <doi:10.48550/arXiv.1807.10138>.

Authors:Julien Chiquet [aut, cre], Sophie Donnet [aut], großBM team [ctb], Pierre Barbillon [aut]

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sbm.pdf |sbm.html✨
sbm/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/grosssbm/sbm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

network-analysissbmstochastic-block-model

22 exports 16 stars 2.51 score 62 dependencies 2 dependents 88 scripts 509 downloads

Last updated 2 days agofrom:a21af071cc. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-win-x86_64OKSep 16 2024
R-4.5-linux-x86_64OKSep 16 2024
R-4.4-win-x86_64OKSep 16 2024
R-4.4-mac-x86_64OKSep 16 2024
R-4.4-mac-aarch64OKSep 16 2024
R-4.3-win-x86_64OKSep 16 2024
R-4.3-mac-x86_64OKSep 16 2024
R-4.3-mac-aarch64OKSep 16 2024

Exports:%>%BipartiteSBMBipartiteSBM_fitdefineSBMestimateBipartiteSBMestimateMultipartiteSBMestimateMultiplexSBMestimateSimpleSBMis_SBMMultipartiteSBMMultipartiteSBM_fitMultiplexSBM_fitplotAlluvialplotMyMatrixplotMyMultipartiteMatrixplotMyMultiplexMatrixsampleBipartiteSBMsampleMultipartiteSBMsampleMultiplexSBMsampleSimpleSBMSimpleSBMSimpleSBM_fit

Dependencies:alluvialaricodeblockmodelsclicodetoolscolorspacecpp11data.tablediagramdigestdplyrfansifarverfuturefuture.applygenericsggplot2globalsglueGREMLINSgtableigraphisobandKernSmoothlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmenumDerivparallellypbmcapplypillarpkgconfigplyrprodlimprogressrpurrrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesshapeSQUAREMstringistringrsurvivaltibbletidyselectutf8vctrsviridisLitewithr

Multipartite Stochastic Block Models

team großBM

Rendered fromMultipartite_EcologicalNetwork.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2022-09-12
Started: 2020-12-18

Simple and Bipartite Stochastic Block Models

team großBM

Rendered fromSBM_fungus_tree_network.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2022-09-12
Started: 2020-06-25

Stochastic Block Models for Multiplex networks

team großBM

Rendered fromMultiplex_allianceNwar_case_study.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2023-01-07
Started: 2021-05-19

Stochastic Block Models for Multiplex networks

team großBM

Rendered fromMultiplexNetwork_principle.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2022-09-12
Started: 2021-05-05