Handling Missing Data in Stochastic Block Models

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Documentation for package ‘missSBM’ version 1.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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'
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