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