Reference

Top-level fitting functions Main functions for estimating and sampling from an SBM with missing data
estimateMissSBM()	Estimation of simple SBMs with missing data
observeNetwork()	Observe a network partially according to a given sampling design
Main classes of objects Description of objects missSBM_fit and missSBM_collection. The class missSBM_fit is the more central class of object, embedding fits for both the SBM and the sampling model. The class missSBM_collection defines objects for storing a collection of missSBM_fit, resulting from the the top-level function estimateMissSBM().
missSBM_fit	An R6 class to represent an SBM fit with missing data
coef(<missSBM_fit>)	Extract model coefficients
fitted(<missSBM_fit>)	Extract model fitted values from object missSBM_fit, return by estimateMissSBM()
predict(<missSBM_fit>)	Prediction of a missSBM_fit (i.e. network with imputed missing dyads)
plot(<missSBM_fit>)	Visualization for an object missSBM_fit
missSBM_collection	An R6 class to represent a collection of SBM fits with missing data
Data sets
war	War data set
frenchblog2007	Political Blogosphere network prior to 2007 French presidential election
er_network	ER ego centered network