FLXM-class {flexmix}

Class "FLXM"

Description

FlexMix model specification.

Details

The most generic class is the virtual class FLXM. The classes FLXMC for model-based clustering and FLXMR for clusterwise regression extend the virtual class. Both have further more specific model classes which inherit from them.

Model class FLXMCsparse allows for model-based clustering with a sparse matrix as data input.

Objects from the Class

Objects can be created by calls of the form new("FLXM", ...), typically inside driver functions like FLXMRglm or FLXMCmvnorm.

Slots

fit:

Function returning an FLXcomponent object.

defineComponent:

Function or expression to determine the FLXcomponent object given the parameters.

weighted:

Logical indicating whether fit can do weighted likelihood maximization.

name:

Character string used in print methods.

formula:

Formula describing the model.

fullformula:

Resulting formula from updating the model formula with the formula specified in the call to flexmix.

x:

Model matrix.

y:

Model response.

terms, xlevels, contrasts:

Additional information for model matrix.

preproc.x:

Function for preprocessing matrix x before the EM algorithm starts, by default the identity function.

preproc.y:

Function for preprocessing matrix y before the EM algorithm starts, by default the identity function.

Author(s)

Friedrich Leisch and Bettina Gruen