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missSBM: Handling Missing Data in Stochastic Block Models

When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0 due to missing information between node pairs), it is possible to account for the underlying process that generates those NAs. 'missSBM', presented in 'Barbillon, Chiquet and Tabouy' (2022) <doi:10.18637/jss.v101.i12>, adjusts the popular stochastic block model from network data sampled under various missing data conditions, as described in 'Tabouy, Barbillon and Chiquet' (2019) <doi:10.1080/01621459.2018.1562934>.

Version: 1.0.4
Depends: R (≥ 3.4.0)
Imports: Rcpp, methods, igraph, nloptr, ggplot2, future.apply, R6, rlang, sbm, magrittr, Matrix, RSpectra
LinkingTo: Rcpp, RcppArmadillo, nloptr
Suggests: aricode, blockmodels, corrplot, future, testthat (≥ 2.1.0), covr, knitr, rmarkdown, spelling
Published: 2023-10-24
DOI: 10.32614/CRAN.package.missSBM
Author: Julien Chiquet ORCID iD [aut, cre], Pierre Barbillon ORCID iD [aut], Timothée Tabouy [aut], Jean-Benoist Léger [ctb] (provided C++ implementaion of K-means), François Gindraud [ctb] (provided C++ interface to NLopt), großBM team [ctb]
Maintainer: Julien Chiquet <julien.chiquet at inrae.fr>
BugReports: https://github.com/grossSBM/missSBM/issues
License: GPL-3
URL: https://grosssbm.github.io/missSBM/
NeedsCompilation: yes
Language: en-US
Citation: missSBM citation info
Materials: NEWS
In views: MissingData
CRAN checks: missSBM results

Documentation:

Reference manual: missSBM.pdf
Vignettes: missSBM: a case study with war networks

Downloads:

Package source: missSBM_1.0.4.tar.gz
Windows binaries: r-devel: missSBM_1.0.4.zip, r-release: missSBM_1.0.4.zip, r-oldrel: missSBM_1.0.4.zip
macOS binaries: r-release (arm64): missSBM_1.0.4.tgz, r-oldrel (arm64): missSBM_1.0.4.tgz, r-release (x86_64): missSBM_1.0.4.tgz, r-oldrel (x86_64): missSBM_1.0.4.tgz
Old sources: missSBM archive

Reverse dependencies:

Reverse suggests: gsbm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=missSBM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.