Description Details Super classes Active bindings Methods
R6 Class definition of a Multiplex SBM fit
R6 Class definition of a Multiplex SBM fit
This class is designed to give a representation and adjust a Multiplex SBM fitted with GREMLIN.
The list of parameters estimOptions
essentially tunes the optimization process and the variational EM algorithm, with the following parameters
"nbCores"integer for number of cores used. Default is 2
"verbosity"integer for verbosity (0, 1). Default is 1
"nbBlocksRange"List of length the number of functional groups, each element supplying the minimal and maximal number of blocks to be explored. The names of the list must be the names of the functional groups. Default value is from 1 to 10)
"initBM"Boolean. True if using simple and bipartite SBM as initialisations. Default value = TRUE
"maxiterVEM"Number of max. number of iterations in the VEM. Default value = 100
"maxiterVE"Number of max. number of iterations in the VE. Default value = 100
sbm::SBM
-> sbm::MultipartiteSBM
-> sbm::MultipartiteSBM_fit
-> MultiplexSBM_fit
dependentNetwork
: connection parameters in each network
new()
constructor for Multiplex SBM
MultiplexSBM_fit$new(netList, dependentNet = FALSE)
netList
list of SBM object with
dependentNet
boolean indicating whether dependence is assumed between networks beyond the common dependence on the latent variables
optimize()
estimation of multipartiteSBM via GREMLINS
MultiplexSBM_fit$optimize(estimOptions)
estimOptions
options for MultipartiteBM
clone()
The objects of this class are cloneable with this method.
MultiplexSBM_fit$clone(deep = FALSE)
deep
Whether to make a deep clone.
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