Given an adjacency matrix drawn from a Generalized Stochatsic 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) <arXiv:1911.13122>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | softImpute |
| Suggests: | knitr, rmarkdown, igraph, missSBM, RColorBrewer, Matrix |
| Published: | 2020-02-28 |
| 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 |
| CRAN checks: | gsbm results |
| Reference manual: | gsbm.pdf |
| Vignettes: |
blogosphere les_miserables |
| Package source: | gsbm_0.1.0.tar.gz |
| Windows binaries: | r-prerelease: gsbm_0.1.0.zip, r-release: gsbm_0.1.0.zip, r-oldrel: gsbm_0.1.0.zip |
| macOS binaries: | r-prerelease: gsbm_0.1.0.tgz, r-release: gsbm_0.1.0.tgz, r-oldrel: gsbm_0.1.0.tgz |
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