doubleStandardSampler: Class for defining a double-standard sampler

In jchiquet/missSBM: Handling Missing Data in Stochastic Block Models

Class for defining a double-standard sampler

Description

Class for defining a double-standard sampler

Class for defining a double-standard sampler

Super classes

missSBM::networkSampling -> missSBM::networkSampler -> missSBM::dyadSampler -> doubleStandardSampler

Methods

Public methods

• doubleStandardSampler$new()

• doubleStandardSampler$clone()

Inherited methods

• missSBM::networkSampling$print()
• missSBM::networkSampling$show()
• missSBM::networkSampler$rSamplingMatrix()

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Method new()

constructor for networkSampling

Usage

doubleStandardSampler$new(parameters = NA, adjMatrix = NA, directed = FALSE)

Arguments

parameters

the vector of parameters associated to the sampling at play

adjMatrix

matrix of adjacency

directed

logical, directed network of not

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Method clone()

The objects of this class are cloneable with this method.

Usage

doubleStandardSampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

jchiquet/missSBM documentation built on Oct. 25, 2023, 5:30 a.m.