degreeSampling_fit function

Class for fitting a degree sampling

Class for fitting a degree sampling

Class for fitting a degree sampling

Super classes

missSBM::networkSampling -> missSBM::networkSamplingNodes_fit -> degreeSampling_fit

Active bindings

• vExpec: variational expectation of the sampling

Methods

Public methods

• list("degreeSampling_fit$new()")

• list("degreeSampling_fit$update_parameters()")

• list("degreeSampling_fit$update_imputation()")

• list("degreeSampling_fit$clone()")

Method new()

constructor

Usage

degreeSampling_fit$new(partlyObservedNetwork, blockInit, connectInit)

Arguments

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

• blockInit: n x Q matrix of initial block indicators

• connectInit: Q x Q matrix of initial block probabilities of connection

Method update_parameters()

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

Usage

degreeSampling_fit$update_parameters(imputedNet, ...)

Arguments

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

• ...: used for compatibility

Method update_imputation()

a method to update the imputation of the missing entries.

Usage

degreeSampling_fit$update_imputation(PI, ...)

Arguments

• PI: the matrix of inter/intra class probability of connection

• ...: use for compatibility

Method clone()

The objects of this class are cloneable with this method.

Usage

degreeSampling_fit$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.