Computes estimates in multivariate normal models with normal inverse
Wishart priors when there are no missing values, or when all values
are missing. This routine is not normally called directly by users.
USAGE:
emGauss.degenerate(object, prior, call)
REQUIRED ARGUMENTS:
object
an object of class
"preGauss".
prior
a list of parameters in the inverse wishart prior distribution.
call
the "call" to be returned with the class
"missmodel" object.
VALUE:
an object of class
"missmodel" containing the estimated parameters;
see
for details.
DETAILS:
This routine is not normally called directly by users. See
for additional details.