Man pages for missSBM
Handling Missing Data in Stochastic Block Models
| 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... |
| frenchblog2007 | Political Blogosphere network prior to 2007 French... |
| l1_similarity | L1-similarity |
| missSBM_collection | An R6 class to represent a collection of SBM fits with... |
| missSBM_fit | An R6 class to represent an SBM fit with missing data |
| missSBM-package | missSBM: Handling Missing Data in Stochastic Block Models |
| networkSampler | Definition of R6 Class 'networkSampling_sampler' |
| networkSampling | Definition of R6 Class 'networkSampling' |
| networkSamplingDyads_fit | Virtual class used to define a family of... |
| networkSamplingNodes_fit | Virtual class used to define a family of... |
| 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... |
| partlyObservedNetwork | An R6 Class used for internal representation of a partially... |
| pipe | Pipe operator |
| plot.missSBM_fit | Visualization for an object 'missSBM_fit' |
| predicted.missSBM_fit | Prediction of a 'missSBM_fit' (i.e. network with imputed... |
| 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... |
| SimpleSBM_fit_MNAR | This internal class is designed to adjust a binary Stochastic... |
| SimpleSBM_fit_noCov | This internal class is designed to adjust a binary Stochastic... |
| SimpleSBM_fit_withCov | This internal class is designed to adjust a binary Stochastic... |
| snowballSampler | Class for defining a snowball sampler |
| summary.missSBM_fit | Summary method for a 'missSBM_fit' |
| war | War data set |
