Description Usage Arguments Value See Also

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.

1 2 |

`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`

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