R: Compute variance from replicates

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.

### See Also

`svrepdesign`, `as.svrepdesign`, `brrweights`, `jk1weights`, `jknweights`

[Package survey version 3.32-1 Index]