SimpleSBM_fit           This internal class is designed to adjust a
                        binary Stochastic Block Model in the context of
                        missSBM.
SimpleSBM_fit_MNAR      This internal class is designed to adjust a
                        binary Stochastic Block Model in the context of
                        missSBM.
SimpleSBM_fit_noCov     This internal class is designed to adjust a
                        binary Stochastic Block Model in the context of
                        missSBM.
SimpleSBM_fit_withCov   This internal class is designed to adjust a
                        binary Stochastic Block Model in the context of
                        missSBM.
blockDyadSampler        Class for defining a block dyad sampler
blockDyadSampling_fit   Class for fitting a block-dyad sampling
blockNodeSampler        Class for defining a block node sampler
blockNodeSampling_fit   Class for fitting a block-node sampling
coef.missSBM_fit        Extract model coefficients
covarDyadSampling_fit   Class for fitting a dyad sampling with
                        covariates
covarNodeSampling_fit   Class for fitting a node-centered sampling with
                        covariate
degreeSampler           Class for defining a degree sampler
degreeSampling_fit      Class for fitting a degree sampling
doubleStandardSampler   Class for defining a double-standard sampler
doubleStandardSampling_fit
                        Class for fitting a double-standard sampling
dyadSampler             Virtual class for all dyad-centered samplers
dyadSampling_fit        Class for fitting a dyad sampling
er_network              ER ego centered network
estimateMissSBM         Estimation of simple SBMs with missing data
fitted.missSBM_fit      Extract model fitted values from object
                        'missSBM_fit', return by 'estimateMissSBM()'
frenchblog2007          Political Blogosphere network prior to 2007
                        French presidential election
missSBM                 Adjusting Stochastic Block Models under various
                        missing data conditions
missSBM_collection      An R6 class to represent a collection of SBM
                        fits with missing data
missSBM_fit             An R6 class to represent an SBM fit with
                        missing data
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
nodeSampler             Virtual class for all node-centered samplers
nodeSampling_fit        Class for fitting a node sampling
observeNetwork          Observe a network partially according to a
                        given sampling design
partlyObservedNetwork   An R6 Class used for internal representation of
                        a partially observed network
plot.missSBM_fit        Visualization for an object 'missSBM_fit'
predicted.missSBM_fit   Prediction of a 'missSBM_fit' (i.e. network
                        with imputed missing dyads)
simpleDyadSampler       Class for defining a simple dyad sampler
simpleNodeSampler       Class for defining a simple node sampler
snowballSampler         Class for defining a snowball sampler
summary.missSBM_fit     Summary method for a 'missSBM_fit'
war                     War data set
