get.RF: Calculate the value of the Relative Fit measure for...
In nem: Generating networks with selected blockmodel

Description Usage Arguments Note Author(s) See Also

It calculates the value of the Relative Fit measure.

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

`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.

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!

Marjan Cugmas

get.RF.kmeans

nem documentation built on April 23, 2021, 3 p.m.