doubleStandardSampling_fit function

Class for fitting a double-standard sampling

Class for fitting a double-standard sampling

Class for fitting a double-standard sampling

Super classes

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

Active bindings

• vExpec: variational expectation of the sampling

Methods

Public methods

• list("doubleStandardSampling_fit$new()")

• list("doubleStandardSampling_fit$update_parameters()")

• list("doubleStandardSampling_fit$update_imputation()")

• list("doubleStandardSampling_fit$clone()")

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.