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 |
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 |
Reference manual: | missSBM.pdf |
Vignettes: |
missSBM: a case study with war networks |
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-devel (arm64): missSBM_1.0.4.tgz, r-release (arm64): missSBM_1.0.4.tgz, r-oldrel (arm64): missSBM_1.0.4.tgz, r-devel (x86_64): 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 suggests: | gsbm |
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