"da" Object

DESCRIPTION:

Objects of class da that result from fitting models using data augmentation.

GENERATION:

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

METHODS:

The class "da" has associated methods: .

STRUCTURE:

a list containing the following values:

VALUE:

save
an integer vector of iteration numbers (input in the control argument of the call generating the class "da" object) at which to save the parameter estimates.
seed
the random number seed used to start the data augmentation algorithm. This seed is important if the data augmentation chain is to be replicated.

DETAILS:

The data augmentation algorithm is a Markov Chain Monte Carlo algorithm that generates a sequence of parameter estimates. These estimates are saved, and stored as the paramIter component in a missmodel object.

SEE ALSO:

, , , , , .