Combine Multiple Imputation Inferences
DESCRIPTION:
Average estimates, and compute combined standard errors
or covariance estimates from multiple analyses on imputed data sets.
USAGE:
miMeanSEAux.lm(object1, object, ...)
REQUIRED ARGUMENTS:
- object1
-
an
lm
object, same as the first imputation from
object
.
- object
-
an
mi
object whose imputations are
lm
objects.
OPTIONAL ARGUMENTS:
- ...
-
additional arguments, which are ignored.
VALUE:
a list, whose components are described in the help file for
miMeanSE
. The first two components are:
- est
-
average of the coefficients across imputations.
- std.err
-
standard errors for the coefficients.
DETAILS:
This function is called by
miMeanSE
when all imputations are
lm
objects.
This calls
miMeanSEDefault
to perform the actual calculations.
SEE ALSO:
,
,
,
,
,
.
EXAMPLES:
fit <- miEval(lm(chol14~., data = cholesterolImpExample))
miMeanSE(fit)