"missmodel" Object

DESCRIPTION:

Objects of class missmodel returned by modeling functions for data with missing values. These models are typically fit by iterative algorithms.

GENERATION:

This class of objects are returned from functions used to fit statistical models on data with missing values.

METHODS:

The class "missmodel" has methods: , , , , , , , , , , , and .

STRUCTURE:

The class "missmodel" object is a list with the following components:

VALUE:

call
the call used to create the missmodel object.
paramIter
a matrix object of an appropriate class. Examples include "Gauss", "Loglin", and "cgm". Each row of the matrix contains one set of parameter estimates for the model.
algorithm
an object which is of class "em", "da" or is NULL containing statistics pertaining to the algorithm used; see or for details.

SEE ALSO:

, , , , , , , , , , , , , .