svrVar {survey} | R Documentation |
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)
thetas |
matrix whose rows are replicates (or a vector of replicates) |
scale |
Overall scaling factor |
rscales |
Scaling factor for each squared deviation |
na.action |
How to handle replicates where the statistic could not be estimated |
mse |
if |
coef |
The point estimate, required only if |
covariance matrix.
svrepdesign
, as.svrepdesign
,
brrweights
,
jk1weights
, jknweights