logpost.Gauss(object, theta = <<see below>>, prior = <<see below>>)
"missmodel"
whose
paramIter
component is of
class
"Gauss"
. I.e., an object resulting from the use of the
mdGauss
,
daGauss
, or
emGauss
functions. Alternatively, a class
"preGauss"
object.
paramIter
component
of the input
missmodel
object. If a class
"preGauss"
object is
input, the model parameters must be specified exactly as in a class
"Gauss"
object (see
).
"Gauss"
object with multiple rows; then calculations
are performed for each row, and a vector is returned.
"priorGauss"
.
"ml"
(maximum likelihood),
"noninformative"
, and
"ridge"
(for the default ridge prior).
String matching is used, so the characters
"m"
,
"n"
, or
"r"
are
sufficient.
"priorGauss"
object is created by routine
priorGauss
.
"missmodel"
object is input, any value specified in a previous call
has priority over the default value (but not over any currently
specified value).
theta
.
This is the log-likelihood or log-posterior density that ignores the missing-data mechanism.
fit <- emGauss(cholesterol) logpost.Gauss(fit)