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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.5 |
rolling source/ R- | missSBM_1.0.5.tar.gz |
715.5 KiB |
1.0.5 |
rolling linux/jammy R-4.5 | missSBM_1.0.5.tar.gz |
1.9 MiB |
1.0.5 |
rolling linux/noble R-4.5 | missSBM_1.0.5.tar.gz |
1.9 MiB |
1.0.5 |
latest source/ R- | missSBM_1.0.5.tar.gz |
715.5 KiB |
1.0.5 |
latest linux/jammy R-4.5 | missSBM_1.0.5.tar.gz |
1.9 MiB |
1.0.5 |
latest linux/noble R-4.5 | missSBM_1.0.5.tar.gz |
1.9 MiB |
1.0.5 |
2026-04-23 source/ R- | missSBM_1.0.5.tar.gz |
715.5 KiB |
1.0.5 |
2026-04-09 windows/windows R-4.5 | missSBM_1.0.5.zip |
2.2 MiB |
1.0.5 |
2025-04-20 source/ R- | missSBM_1.0.5.tar.gz |
715.5 KiB |