blockNodeSampling_fit function

Class for fitting a block-node sampling

Class for fitting a block-node sampling

Class for fitting a block-node sampling

Super classes

missSBM::networkSampling -> missSBM::networkSamplingNodes_fit -> blockNodeSampling_fit

Active bindings

• vExpec: variational expectation of the sampling

• log_lambda: double, term for adjusting the imputation step which depends on the type of sampling

Methods

Public methods

• list("blockNodeSampling_fit$new()")

• list("blockNodeSampling_fit$update_parameters()")

• list("blockNodeSampling_fit$clone()")

Method new()

constructor

Usage

blockNodeSampling_fit$new(partlyObservedNetwork, blockInit)

Arguments

• partlyObservedNetwork: a object with class partlyObservedNetwork representing the observed data with possibly missing entries

• blockInit: n x Q matrix of initial block indicators

Method update_parameters()

a method to update the estimation of the parameters. By default, nothing to do (corresponds to MAR sampling)

Usage

blockNodeSampling_fit$update_parameters(imputedNet, Z)

Arguments

• imputedNet: an adjacency matrix where missing values have been imputed

• Z: indicator of blocks

Method clone()

The objects of this class are cloneable with this method.

Usage

blockNodeSampling_fit$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.