snowballSampler: Class for defining a snowball sampler
In missSBM: Handling Missing Data in Stochastic Block Models
snowballSampler R Documentation
Class for defining a snowball sampler
Description
Class for defining a snowball sampler
Super classes
networkSampling -> networkSampler -> nodeSampler -> snowballSampler
Methods
Public methods
Inherited methods
snowballSampler$new()
constructor for networkSampling
Usage
snowballSampler$new(parameters = NA, adjacencyMatrix = NA, directed = FALSE)
Arguments
parametersthe vector of parameters associated to the sampling at play
adjacencyMatrixthe adjacency matrix of the network
directedlogical, directed network of not
snowballSampler$clone()
The objects of this class are cloneable with this method.
Usage
snowballSampler$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
missSBM documentation built on July 22, 2026, 1:07 a.m.
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| snowballSampler | R Documentation |
Class for defining a snowball sampler
Description
Class for defining a snowball sampler
Super classes
networkSampling -> networkSampler -> nodeSampler -> snowballSampler
Methods
Public methods
Inherited methods
snowballSampler$new()
constructor for networkSampling
Usage
snowballSampler$new(parameters = NA, adjacencyMatrix = NA, directed = FALSE)
Arguments
parametersthe vector of parameters associated to the sampling at play
adjacencyMatrixthe adjacency matrix of the network
directedlogical, directed network of not
snowballSampler$clone()
The objects of this class are cloneable with this method.
Usage
snowballSampler$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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