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)