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

The package rlme calls this function for gee method, one of the methods proposed in Bilgic's study (2012). Also see Kloke et al. (2013). concise (1-5 lines) description of what the function does. ~~

1 2 |

`x` |
Design matrix, pxn, without intercept. |

`y` |
Response vector of nx1. |

`I` |
Number of clusters. |

`sec` |
A vector of subcluster numbers in clusters. |

`mat` |
A matrix of numbers of observations in subclusters. Dimension is Ixmax(number ofsubclusters). Each row indicates one cluster. |

`school` |
A vector of clusters, nx1. |

`section` |
A vector of subclusters, nx1. |

`weight` |
When weight="hbr", it uses hbr weights in GEE weights. By default, ="wil", it uses Wilcoxon weights. See the theory in the references. |

`rprpair` |
By default, it uses "hl-disp" in the random prediction procedure (RPP). Also, "med-mad" would be an alternative. |

`verbose` |
Boolean indicating whether to print out diagnostic messages. |

`theta` |
Fixed effect estimates. |

`ses` |
Standard error for the fixed esimates. |

`sigma` |
Variances of cluster, subcluster, and residual. |

`ehat` |
Raw error. |

`ehats` |
Independence error from last weighted step. |

`effect_sch` |
Cluster random error. |

`effect_sec` |
Subcluster random error. |

`effect_err` |
Epsilon error. |

Yusuf K. Bilgic, yekabe@hotmail.com

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

A. Abebe, J. W. McKean, J. D. Kloke and Y. K. Bilgic. Iterated reweighted rank-based estimates for gee models. 2013. Submitted.

rlme, GR_est, JR_est, rprmeddisp

1 | ```
# See the rlme function.
``` |

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