An S4 class to represent a mixed clustering models, where sevral models are used to model different datasets. A conditional independence assumption between the view knowing the cluster is made.
MixedModels(models, alpha = 1)
a named list of DlvmPrior's object
Dirichlet prior parameter over the cluster proportions (default to 1)
a MixedModels-class
object
The filed name in the models list must match the name of the list use to provide the datasets to cluster together.
MixedModels
: MixedModels class constructor
Other DlvmModels:
DcLbmPrior-class
,
DcSbmPrior-class
,
DiagGmmPrior-class
,
DlvmPrior-class
,
Gmm
,
LcaPrior-class
,
MoMPrior-class
,
MoRPrior-class
,
MultSbmPrior-class
,
SbmPrior-class
,
greed()
MixedModels(models = list(continuous = GmmPrior(), discrete = LcaPrior()))
#> An object of class "MixedModels"
#> Slot "models":
#> $continuous
#> An object of class "GmmPrior"
#> Slot "tau":
#> [1] 0.01
#>
#> Slot "mu":
#> [,1]
#> [1,] NaN
#>
#> Slot "epsilon":
#> [,1]
#> [1,] NaN
#>
#> Slot "N0":
#> [1] NaN
#>
#>
#> $discrete
#> An object of class "LcaPrior"
#> Slot "beta":
#> [1] 1
#>
#>
#>
#> Slot "alpha":
#> [1] 1
#>