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 |