ER ego centered network
missSBM: Handling Missing Data in Stochastic Block Models
Definition of R6 Class 'networkSampling_sampler'
An R6 class to represent an SBM fit with missing data
An R6 class to represent a collection of SBM fits with missing data
Virtual class used to define a family of networkSamplingDyads_fit
Definition of R6 Class 'networkSampling'
Summary method for a missSBM_fit
Virtual class used to define a family of networkSamplingNodes_fit
Virtual class for all node-centered samplers
Class for defining a simple dyad sampler
Observe a network partially according to a given sampling design
Class for fitting a node sampling
Class for defining a snowball sampler
Class for defining a simple node sampler
Visualization for an object missSBM_fit
Prediction of a missSBM_fit (i.e. network with imputed missing dyads)
War data set
L1-similarity
Pipe operator
An R6 Class used for internal representation of a partially observed network
Political Blogosphere network prior to 2007 French presidential election
Class for defining a block node sampler
Class for fitting a dyad sampling with covariates
This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
Extract model coefficients
This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
Class for fitting a block-node sampling
Class for fitting a block-dyad sampling
Class for defining a block dyad sampler
This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
Estimation of simple SBMs with missing data
Class for fitting a degree sampling
Class for defining a double-standard sampler
Class for fitting a node-centered sampling with covariate
Class for fitting a dyad sampling
doubleStandardSampling_fit
Class for fitting a double-standard sampling
Virtual class for all dyad-centered samplers
Extract model fitted values from object missSBM_fit, return by estimateMissSBM()
Class for defining a degree sampler