HR | R Documentation |

The Horvitz-Thompson estimator and the Hartley-Rao approximation require information in addition to the sampling probabilities for sampled individuals. These functions allow this information to be supplied.

```
HR(psum=NULL, strata = NULL)
ppsmat(jointprob, tolerance = 1e-04)
ppscov(probcov, weighted=FALSE)
```

`psum` |
The sum of squared sampling probabilities for the population, divided by the sample size, as a single number or as a vector for stratified sampling |

`strata` |
Stratum labels, of the same length as |

`jointprob` |
Matrix of pairwise sampling probabilities for the sampled individuals |

`tolerance` |
Tolerance for deciding that the covariance of sampling indicators is zero |

`probcov` |
Covariance of the sampling indicators (often written 'Delta'), or weighted covariance if |

`weighted` |
If |

An object of class `HR`

,`ppsmat`

, `ppsdelta`

, or `ppsdcheck`

suitable for supplying as the `pps`

argument to `svydesign`

.

election for examples of PPS designs

```
HR(0.1)
```

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