CombinedModels: Combined Models classes

In comeetie/greed: Clustering and Model Selection with the Integrated Classification Likelihood

Combined Models classes

Description

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.

Usage

CombinedModels(models, alpha = 1)

Arguments

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

Details

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

Value

a CombinedModels-class object

See Also

CombinedModelsFit-class, CombinedModelsPath-class

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

Examples

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

comeetie/greed documentation built on Oct. 10, 2022, 5:37 p.m.