MultSbm {greed} | R Documentation |
Multinomial Stochastic Block Model Prior class
Description
An S4 class to represent a Multinomial Stochastic Block Model. Such model can be used to cluster multi-layer graph vertex, and model a square adjacency cube of size NxNxM with the following generative model :
With . These classes mainly store the prior parameters value
of this generative model.
The
MultSbm-class
must be used when fitting a simple MultSbm whereas the MultSbmPrior-class
must be sued when fitting a CombinedModels-class
.
Usage
MultSbmPrior(beta = 1, type = "guess")
MultSbm(alpha = 1, beta = 1, type = "guess")
Arguments
beta |
Dirichlet prior parameter over Multinomial links |
type |
define the type of networks (either "directed", "undirected" or "guess", default to "guess"), for undirected graphs the adjacency matrix is supposed to be symmetric. |
alpha |
Dirichlet prior parameter over the cluster proportions (default to 1) |
Value
a MultSbmPrior-class
object
a MultSbm-class
object
See Also
MultSbmFit-class
, MultSbmPath-class
Other DlvmModels:
CombinedModels
,
DcLbm
,
DcSbm
,
DiagGmm
,
DlvmPrior-class
,
Gmm
,
Lca
,
MoM
,
MoR
,
Sbm
,
greed()
Examples
MultSbmPrior()
MultSbmPrior(type = "undirected")
MultSbm()
MultSbm(type = "undirected")