get.RF {nem}R Documentation

Calculate the value of the Relative Fit measure for generalized blockmodeling approach

Description

It calculates the value of the Relative Fit measure.

Usage

get.RF(
  network,
  nSim = 10,
  nCores = 0,
  groups = groups,
  bmType = list(cohes = cohes, ccp = ccp),
  symmetrize = FALSE,
  blockTypeWeights = 1,
  rep = 200
)

Arguments

network

The (binary) network in a matrix form.

nSim

The number of randomized networks.

nCores

The number of cores to be used by funcion kmBlockORPC.

groups

The number of clusters in a blockmodel (single value of a vector of values).

bmType

The list of image matrices.

Note

The networks are randomized in such a way that loops are not allowed, but the density is still the same as in the empirical networks (the degrees are not preserved)! For asymmetric networks only!

Author(s)

Marjan Cugmas

See Also

get.RF.kmeans


[Package nem version 0.12.33 Index]