missSBM

Handling Missing Data in Stochastic Block Models

CRAN Package

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) , adjusts the popular stochastic block model from network data sampled under various missing data conditions, as described in 'Tabouy, Barbillon and Chiquet' (2019) .

Documentation

Team

Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN

Binaries

Dependencies

  • Depends1 package
  • Imports12 packages
  • Suggests9 packages
  • Linking To3 packages
  • Reverse Suggests1 package