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 |