doubleStandardSampler: Class for defining a double-standard sampler
In missSBM: Handling Missing Data in Stochastic Block Models
doubleStandardSampler R Documentation
Class for defining a double-standard sampler
Description
Class for defining a double-standard sampler
Super classes
networkSampling -> networkSampler -> dyadSampler -> doubleStandardSampler
Methods
Public methods
Inherited methods
doubleStandardSampler$new()
constructor for networkSampling
Usage
doubleStandardSampler$new(parameters = NA, adjMatrix = NA, directed = FALSE)
Arguments
parametersthe vector of parameters associated to the sampling at play
adjMatrixmatrix of adjacency
directedlogical, directed network of not
doubleStandardSampler$clone()
The objects of this class are cloneable with this method.
Usage
doubleStandardSampler$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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| doubleStandardSampler | R Documentation |
Class for defining a double-standard sampler
Description
Class for defining a double-standard sampler
Super classes
networkSampling -> networkSampler -> dyadSampler -> doubleStandardSampler
Methods
Public methods
Inherited methods
doubleStandardSampler$new()
constructor for networkSampling
Usage
doubleStandardSampler$new(parameters = NA, adjMatrix = NA, directed = FALSE)
Arguments
parametersthe vector of parameters associated to the sampling at play
adjMatrixmatrix of adjacency
directedlogical, directed network of not
doubleStandardSampler$clone()
The objects of this class are cloneable with this method.
Usage
doubleStandardSampler$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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