svrVar {survey} R Documentation

## Compute variance from replicates

### Description

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.

### Usage

svrVar(thetas, scale, rscales, na.action=getOption("na.action"),
mse=getOption("survey.replicates.mse"),coef)


### Arguments

 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 TRUE, center at the point estimated, if FALSE center at the mean of the replicates coef The point estimate, required only if mse==TRUE

### Value

covariance matrix.

svrepdesign, as.svrepdesign, brrweights, jk1weights, jknweights