snowballSampler: Class for defining a snowball sampler

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

Class for defining a snowball sampler

Description

Class for defining a snowball sampler

Class for defining a snowball sampler

Super classes

missSBM::networkSampling -> missSBM::networkSampler -> missSBM::nodeSampler -> snowballSampler

Methods

Public methods

• snowballSampler$new()

• snowballSampler$clone()

Inherited methods

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

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Method new()

constructor for networkSampling

Usage

snowballSampler$new(parameters = NA, adjacencyMatrix = NA, directed = FALSE)

Arguments

parameters

the vector of parameters associated to the sampling at play

adjacencyMatrix

the adjacency matrix of the network

directed

logical, directed network of not

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Method clone()

The objects of this class are cloneable with this method.

Usage

snowballSampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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