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gsbm: Estimate Parameters in the Generalized SBM

Given an adjacency matrix drawn from a Generalized Stochastic Block Model with missing observations, this package robustly estimates the probabilities of connection between nodes and detects outliers nodes, as describes in Gaucher, Klopp and Robin (2019) <doi:10.48550/arXiv.1911.13122>.

Version: 0.2.2
Depends: R (≥ 3.5.0)
Imports: softImpute, RSpectra, doParallel, Matrix, foreach
Suggests: knitr, rmarkdown, igraph, missSBM, RColorBrewer, combinat, testthat
Published: 2022-09-20
DOI: 10.32614/CRAN.package.gsbm
Author: Genevieve Robin [aut], Solenne Gaucher [aut, cre]
Maintainer: Solenne Gaucher <solenne.gaucher at math.u-psud.fr>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gsbm results

Documentation:

Reference manual: gsbm.pdf
Vignettes: PrimarySchool
blogosphere
les_miserables

Downloads:

Package source: gsbm_0.2.2.tar.gz
Windows binaries: r-devel: gsbm_0.2.2.zip, r-release: gsbm_0.2.2.zip, r-oldrel: gsbm_0.2.2.zip
macOS binaries: r-release (arm64): gsbm_0.2.2.tgz, r-oldrel (arm64): gsbm_0.2.2.tgz, r-release (x86_64): gsbm_0.2.2.tgz, r-oldrel (x86_64): gsbm_0.2.2.tgz
Old sources: gsbm archive

Linking:

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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.
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