Method new()
constructor for networkSampling
Usage
missSBM_collection$new(partlyObservedNet, sampling, clusterInit, control)
Arguments
partlyObservedNet
An object with class partlyObservedNetwork
.
sampling
The sampling design for the modelling of missing data: MAR designs ("dyad", "node") and MNAR designs ("double-standard", "block-dyad", "block-node" ,"degree")
clusterInit
Initial clustering: a list of vectors, each with size ncol(adjacencyMatrix)
.
control
a list of parameters controlling advanced features. Only 'trace' and 'useCov' are relevant here. See estimateMissSBM()
for details.
Method estimate()
method to launch the estimation of the collection of models
Usage
missSBM_collection$estimate(control)
Arguments
control
a list of parameters controlling the variational EM algorithm. See details of function estimateMissSBM()
Method explore()
method for performing exploration of the ICL
Usage
missSBM_collection$explore(control)
Arguments
control
a list of parameters controlling the exploration, similar to those found in the regular function estimateMissSBM()
plot method for missSBM_collection
Usage
missSBM_collection$plot(type = c("icl", "elbo", "monitoring"))
Arguments
type
the type specifies the field to plot, either "icl", "elbo" or "monitoring". Default is "icl"
Method show()
show method for missSBM_collection
Usage
missSBM_collection$show()
User friendly print method
Usage
missSBM_collection$print()
Method clone()
The objects of this class are cloneable with this method.
Usage
missSBM_collection$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.