This class of objects is returned as the
paramIter
component in the
class
"missmodel"
object returned by the
mdCgm
,
completeCgm
,
emCgm
, and
daCgm
functions.
The class
"cgm"
has associated methods:
VarNames.cgm
,
,
,
, and
.
The class
"cgm"
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
"cgm"
object, the parameters are the cell probabilities, cell means and the
lower triangle of the variance-covariance matrix of a multivariate
normal (Gaussian) distribution. Using the
control
argument of
mdCgm
,
completeCgm
,
daCgm
, or
emCgm
, you can choose which
iterates to save. The iteration number for each row of saved
estimates is given by the row name.