| 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 | 
| l1_similarity | L1-similarity | 
| 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' | 
| predict.missSBM_fit | Prediction of a 'missSBM_fit' (i.e. network with imputed missing dyads) | 
| 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 | 
| 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. | 
| snowballSampler | Class for defining a snowball sampler | 
| summary.missSBM_fit | Summary method for a 'missSBM_fit' | 
| war | War data set |