Compute an appropriately scaled empirical variance estimate from
replicates. The mse argument specifies whether the sums of
squares should be centered at the point estimate (mse=TRUE) or
the mean of the replicates. It is usually taken from the mse
component of the design object.
svrVar(thetas, scale, rscales, na.action=getOption("na.action"),
mse=getOption("survey.replicates.mse"),coef)matrix whose rows are replicates (or a vector of replicates)
Overall scaling factor
Scaling factor for each squared deviation
How to handle replicates where the statistic could not be estimated
if TRUE, center at the point estimated, if
FALSE center at the mean of the replicates
The point estimate, required only if mse==TRUE
covariance matrix.
svrepdesign, as.svrepdesign,
brrweights,
jk1weights, jknweights