nodeSampling_fit: Class for fitting a node sampling
In missSBM: Handling Missing Data in Stochastic Block Models
nodeSampling_fit R Documentation
Class for fitting a node sampling
Description
Class for fitting a node sampling
Super classes
networkSampling -> networkSamplingNodes_fit -> nodeSampling_fit
Active bindings
vExpecvariational expectation of the sampling
Methods
Public methods
Inherited methods
nodeSampling_fit$new()
constructor
Usage
nodeSampling_fit$new(partlyObservedNetwork, ...)
Arguments
partlyObservedNetworka object with class partlyObservedNetwork representing the observed data with possibly missing entries
...used for compatibility
nodeSampling_fit$clone()
The objects of this class are cloneable with this method.
Usage
nodeSampling_fit$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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| nodeSampling_fit | R Documentation |
Class for fitting a node sampling
Description
Class for fitting a node sampling
Super classes
networkSampling -> networkSamplingNodes_fit -> nodeSampling_fit
Active bindings
vExpecvariational expectation of the sampling
Methods
Public methods
Inherited methods
nodeSampling_fit$new()
constructor
Usage
nodeSampling_fit$new(partlyObservedNetwork, ...)
Arguments
partlyObservedNetworka object with class partlyObservedNetwork representing the observed data with possibly missing entries
...used for compatibility
nodeSampling_fit$clone()
The objects of this class are cloneable with this method.
Usage
nodeSampling_fit$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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