nodeSampler: Virtual class for all node-centered samplers
In missSBM: Handling Missing Data in Stochastic Block Models
nodeSampler R Documentation
Virtual class for all node-centered samplers
Description
Virtual class for all node-centered samplers
Super classes
networkSampling -> networkSampler -> nodeSampler
Methods
Public methods
Inherited methods
nodeSampler$clone()
The objects of this class are cloneable with this method.
Usage
nodeSampler$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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| nodeSampler | R Documentation |
Virtual class for all node-centered samplers
Description
Virtual class for all node-centered samplers
Super classes
networkSampling -> networkSampler -> nodeSampler
Methods
Public methods
Inherited methods
nodeSampler$clone()
The objects of this class are cloneable with this method.
Usage
nodeSampler$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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