JEvalMstep {noisySBM}

evaluation of the objective in the Gauss model

Description

evaluation of the objective in the Gauss model

Usage

JEvalMstep(VE, mstep, data, modelFamily, directed)

Arguments

VE

list with variational parameters tau and rho

mstep

list with current model parameters and additional auxiliary terms

data

data vector in the undirected model, data matrix in the directed model

modelFamily

probability distribution for the edges. Possible values: Gauss, Gamma

directed

booelan to indicate whether the model is directed or undirected

Value

value of the ELBO and the complete log likelihood function