missSBM {missSBM}R Documentation

Adjusting Stochastic Block Models under various missing data conditions

Description

The missSBM package provides five functions:

Details

These function leads to the manipulation of a variety of R object, with their respective fields and methods. They are all automatically generated by the top-level functions itemized above, so that the user should generally to use their constructor or internal methods directly. The user should only have a basic understanding of the fields of each object to manipulate the output in R. The main objects are the following:

Author(s)

Timothée Tabouy, Pierre Barbillon, Julien Chiquet

References

Timothée Tabouy, Pierre Barbillon & Julien Chiquet (2019) “Variational Inference for Stochastic Block Models from Sampled Data”, Journal of the American Statistical Association, <doi:10.1080/01621459.2018.1562934>


[Package missSBM version 0.2.0 Index]