View source: R/model_combinedmodels.R
CombinedModels | R Documentation |
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.
CombinedModels(models, alpha = 1)
models |
a named list of DlvmPrior's object |
alpha |
Dirichlet prior parameter over the cluster proportions (default to 1) |
The filed name in the models list must match the name of the list use to provide the datasets to cluster together.
a CombinedModels-class
object
CombinedModelsFit-class
, CombinedModelsPath-class
Other DlvmModels:
DcLbm
,
DcSbm
,
DiagGmm
,
DlvmPrior-class
,
Gmm
,
Lca
,
MoM
,
MoR
,
MultSbm
,
Sbm
,
greed()
CombinedModels(models = list(continuous = GmmPrior(), discrete = LcaPrior()))
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