smooth {missSBM}R Documentation

Smooth the path ICL in a collection of missSBM_fit models

Description

Apply a split and/or merge strategy of the clustering in a path of models in a collection of SBM ordered by number of block. The goal is to find better initialization. This results in a "smoothing" of the ICL, that should be close to concave.

Usage

smooth(Robject, type = c("forward", "backward", "both"),
  control = list())

Arguments

Robject

an object with class missSBM_collection, i.e. an output from estimate

type

character indicating what kind of ICL smoothing should be use among "forward", "backward" or "both". Default is "forward".

control

a list controlling the variational EM algorithm. See details.

Details

The list of parameters control controls the optimization process and the variational EM algorithm, with the following entries

Value

an invisible missSBM_collection, in which the ICL has been smoothed


[Package missSBM version 0.2.0 Index]