Description Usage Arguments Value Author(s) References See Also Examples

Partitions model residuals into cluster and subcluster effects using RPP algorithm.

1 |

`f` |
A model formula which specifices the random effects (see example) |

`resd` |
The residuals from the fitted model |

`data` |
The data the model was fitted on |

`rprpair` |
Character string indicating the location and scale parameters to use. Default to "hl-disp", but may also be "med-mad". See Bilgic (2012). |

`siga2` |
Variance from cluster |

`sigw2` |
Variance from subcluster |

`sigmae2` |
Remaining variance not accounted for by variance of cluster and subcluster |

J. W. McKean and Y. K. Bilgic

Y. K. Bilgic. Rank-based estimation and prediction for mixed effects models in nested designs. 2012. URL http://scholarworks.wmich.edu/dissertations/40. Dissertation.

rprmeddis, dispvar

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# Load school data
data(schools)
# Fit fixed effects model with lmr
lmr.fit = lmr(y ~ age + sex, data=schools)
# Three level design
# Partition residuals into school and region effects with rpp algorithm
rpr(y ~ age + sex + (1 | school) + (1 | school:region), lmr.fit$ehat, schools)
# Two level design
# Estimate variance in residuals from school
rpr(y ~ age + sex + (1 | school), lmr.fit$ehat, schools)
``` |

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