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.
- Version1.0.4
- R version≥ 3.4.0
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- missSBM citation info
- Last release10/24/2023
Documentation
Team
Julien Chiquet
Pierre Barbillon
François Gindraud
Show author detailsRolesContributorTimothée Tabouy
Show author detailsRolesAuthorJean-Benoist Léger
Show author detailsRolesContributorgroßBM team
Show author detailsRolesContributor
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- Imports11 packages
- Suggests9 packages
- Linking To3 packages
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