Description Usage Arguments Details Value References

This function computes the MSPE estimator of Observed Best Predictor (OBP) proposed by Jiang, Nguyen and Rao (2011).

1 |

`formula` |
an object of class formula (or one that can be coerced to that class): a symbolic description of the model to be fitted. The variables included in formula must have a length equal to the number of small areas. More about the model specification are given under Details. |

`data` |
optional data frame containing the variable names in |

`errorvar` |
vector containing the variances of the random errors for all small areas. |

`theta.OBP` |
an optional vector of OBP values. See details. |

`A.BPE` |
optional BPE estimate of variance of random effects or the true value, if known. See details. |

`beta.BPE` |
optional BPE estimate of fixed effects coefficients. See details. |

`formula`

is specified in the form `response ~ predictors`

where the predictors are separated by `+`

. `formula`

has an implied intercept term. To remove the intercept term, use either `y ~ x - 1`

or `y ~ 0 + x`

.

`theta.OBP`

, `A.BPE`

and `beta.BPE`

are optional arguments. If any of them is missing, all three are computed from the data.

This function will return a vector of the JNR MSPE estimator of the OBP.

Jiang J, Nguyen T, and Rao J. S. (2011), "Best Predictive Small Area Estimation", Journal of the American Statistical Association.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.