miMeanSEList(object, estimate = "estimate", se = "se", df = "df", n = "n", sse = F, cov)
mi
object whose imputations are lists.
object
which contain estimates, standard
errors, degrees of freedom, sample size, and covariance matrices,
respectively, or may be objects containing those values.
TRUE
, then the numerical values for
se
are assumed to contain
squared standard errors.
This function extracts data from
object
, then
calls
miMeanSEDefault
to perform calculations.
estimate
, and at least one of
se
and
cov
, are required.
If
df
and
n
are not supplied (or the corresponding
elements of
object
do not exist) then some components of the
output will contain missing values.
fit <- miEval(lm(chol14~., data = cholesterolImpExample)) sumfit <- miEval(summary(fit)) coefs <- miEval(coef(sumfit)) coefs[[1]] # note estimates and std errors miMeanSEList(miEval(list(estimate = coefs[,1], se = coefs[,2])))