"missmodel"
Object
missmodel
returned by
modeling functions for data with missing values. These
models are typically fit by iterative algorithms.
This class of objects are returned from functions used to fit statistical models on data with missing values.
The class
"missmodel"
has methods:
,
,
,
,
,
,
,
,
,
,
, and
.
The class
"missmodel"
object is a list with the
following components:
missmodel
object.
"Gauss"
,
"Loglin"
, and
"cgm"
.
Each row of the matrix contains
one set of parameter estimates for the model.
"em"
,
"da"
or is NULL containing
statistics pertaining to the algorithm used; see
or
for details.