DCSBM.estimate {randnet}

Estimates DCSBM model

Description

Estimates DCSBM model by given community labels

Usage

DCSBM.estimate(A, g)

Arguments

A

adjacency matrix

g

vector of community labels for the nodes

Details

Estimation is based on maximum likelhood.

Value

A list object of

Phat

estimated probability matrix

B

the B matrix with block connection probability, up to a scaling constant

Psi

vector of of degree parameter theta, up to a scaling constant

Author(s)

Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li [e-mail]

References

B. Karrer and M. E. Newman. Stochastic blockmodels and community structure in networks. Physical Review E, 83(1):016107, 2011.

See Also

SBM.estimate

Examples

dt <- BlockModel.Gen(30,300,K=3,beta=0.2,rho=0.9,simple=FALSE,power=TRUE)


A <- dt$A


ssc <- reg.SSP(A,K=3,lap=TRUE)

est <- DCSBM.estimate(A,ssc$cluster)