"em" Object

DESCRIPTION:

Objects of class em that result from using the EM algorithm.

GENERATION:

This class of objects may be returned as the algorithm component in a class "missmodel" object.

METHODS:

The class "em" has associated methods: .

STRUCTURE:

The class "em" object consists of a list containing the following values:

VALUE:

last
the number of final iteration parameter estimates to save. Can be specified through the control object in the call generating the class "em" object.
likelihood
the log likelihood (or the log posterior density) at the final parameter estimates.
reldif
the maximum absolute relative change in a parameter estimate on the final iteration.
likdif
the difference in the log-likelihood (or the log posterior density) on the final two iterations.

SEE ALSO:

, , , , , , , , .