missSBM1.0.4 package

Class for defining a block dyad sampler

Class for fitting a block-dyad sampling

Class for defining a block node sampler

Class for fitting a block-node sampling

Extract model coefficients

Class for fitting a dyad sampling with covariates

Class for fitting a node-centered sampling with covariate

Class for defining a degree sampler

Class for fitting a degree sampling

Class for defining a double-standard sampler

Class for fitting a double-standard sampling

Virtual class for all dyad-centered samplers

Class for fitting a dyad sampling

Estimation of simple SBMs with missing data

Extract model fitted values from object missSBM_fit, return by `esti...

L1-similarity

missSBM: Handling Missing Data in Stochastic Block Models

An R6 class to represent a collection of SBM fits with missing data

An R6 class to represent an SBM fit with missing data

Definition of R6 Class 'networkSampling_sampler'

Definition of R6 Class 'networkSampling'

Virtual class used to define a family of networkSamplingDyads_fit

Virtual class used to define a family of networkSamplingNodes_fit

Virtual class for all node-centered samplers

Class for fitting a node sampling

Observe a network partially according to a given sampling design

An R6 Class used for internal representation of a partially observed n...

Pipe operator

Visualization for an object missSBM_fit

Prediction of a missSBM_fit (i.e. network with imputed missing dyads...

Class for defining a simple dyad sampler

Class for defining a simple node sampler

This internal class is designed to adjust a binary Stochastic Block Mo...

This internal class is designed to adjust a binary Stochastic Block Mo...

This internal class is designed to adjust a binary Stochastic Block Mo...

This internal class is designed to adjust a binary Stochastic Block Mo...

Class for defining a snowball sampler

Summary method for a missSBM_fit