# Handling Missing Data in Stochastic Block Models

## Documentation for package ‘missSBM’ version 0.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

missSBM-package | Adjusting Stochastic Block Models under various missing data conditions
dyadSampler | Virtual class for all dyad-centered samplers
er_network | ER ego centred network
estimate | Estimation of SBMs with missing data
frenchblog2007 | Political Blogosphere network prior to 2007 French presidential election
missSBM | Adjusting Stochastic Block Models under various missing data conditions
missSBM_collection | An object to represent a collection of missSBM_fit
missSBM_fit | R6 Class definition of an SBM-fit
networkSampler | Definition of R6 Class 'networkSampling_sampler'
networkSampling | Definition of R6 Class 'networkSampling'
networkSamplingDyads_fit | Virtual class used to define a family of networkSamplingDyads_fit
networkSamplingNodes_fit | Virtual class used to define a family of networkSamplingNodes_fit
prepare_data | Prepare network data for estimation with missing data
sample | Sampling of network data
sampledNetwork | An R6 Class to represent sampled network data
SBM_fit | R6 Class definition of an SBM-fit
SBM_sampler | An R6 Class to represent a sampler for a SBM
simulate | Simulation of an SBM
smooth | Smooth the path ICL in a collection of missSBM_fit models
war | War data set