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missSBM (version 1.0.5)

doubleStandardSampling_fit: Class for fitting a double-standard sampling

Description

Class for fitting a double-standard sampling

Class for fitting a double-standard sampling

Arguments

Super classes

missSBM::networkSampling -> missSBM::networkSamplingDyads_fit -> doubleStandardSampling_fit

Active bindings

vExpec

variational expectation of the sampling

Methods

Inherited methods


Method new()

constructor

Usage

doubleStandardSampling_fit$new(partlyObservedNetwork, ...)

Arguments

partlyObservedNetwork

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

...

used for compatibility


Method update_parameters()

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

Usage

doubleStandardSampling_fit$update_parameters(nu, ...)

Arguments

nu

an adjacency matrix with imputed values (only)

...

use for compatibility


Method update_imputation()

a method to update the imputation of the missing entries.

Usage

doubleStandardSampling_fit$update_imputation(nu)

Arguments

nu

the matrix of (uncorrected) imputation for missing entries


Method clone()

The objects of this class are cloneable with this method.

Usage

doubleStandardSampling_fit$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.