This class of objects is returned as the
paramIter
component in the
class
"missmodel"
object returned by the
mdGauss
,
completeGauss
,
emGauss
, and
daGauss
functions.
The class
"Gauss"
has associated methods:
VarNames.Gauss
,
,
,
,
, and
.
The class
"Gauss"
object consists of a matrix. Each row in the
matrix represents one set of parameters estimates, typically produced
using an iterative algorithm like EM or data augmentation. In the
"Gauss"
object, the parameters are the means and the Cholesky factorization of
the variance-covariance matrix of a multivariate normal distribution.
Using the
control
argument of
Gauss
,
completeGauss
,
daGauss
,
or
emGauss
, you can choose which iterates to save. The
iteration number for each row of saved estimates is given by the row
name.
"Gauss"
object.