JEvalMstep: evaluation of the objective in the Gauss model
In noisySBM: Noisy Stochastic Block Mode: Graph Inference by Multiple Testing
Description
Usage
Arguments
Value
Description
evaluation of the objective in the Gauss model
Usage
1
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
noisySBM documentation built on Dec. 16, 2020, 5:09 p.m.
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Description Usage Arguments Value
Description
evaluation of the objective in the Gauss model
Usage
1 | 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:
|
directed |
booelan to indicate whether the model is directed or undirected |
Value
value of the ELBO and the complete log likelihood function
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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