CombinedModels function

Combined Models classes

An S4 class to represent a combined clustering models, where several models are used to model different datasets. A conditional independence assumption between the view knowing the cluster is made. class

CombinedModels(models, alpha = 1)

Arguments

• models: a named list of DlvmPrior's object
• alpha: Dirichlet prior parameter over the cluster proportions (default to 1)

Returns

a CombinedModels-class object

Details

The filed name in the models list must match the name of the list use to provide the datasets to cluster together.

Examples

CombinedModels(models = list(continuous = GmmPrior(), discrete = LcaPrior()))

See Also

CombinedModelsFit-class, CombinedModelsPath-class

Other DlvmModels: DcLbm, DcSbm, DiagGmm, DlvmPrior-class, Gmm, Lca, MoM, MoR, MultSbm, Sbm, greed()