correlatedData Library
Copyright (c) 2001 - 2006 TIBCO Software Inc.
All rights reserved.

correlatedData is a library with methods for analyzing correlated data.
It includes GEE and GLMM modeling.

It offers the following tools:
* fitting correlated data with continuous or discrete response
* gee function: Generalized Estimating Equations GEE for
  correlated data
* glme function: Generalized Linear Mixed-effects Models GLMM for
  correlated data

For GEE modeling:
* apply fixed correlation, Liang and Zeger's methods and Prentice's
  paired estimating equations;
* fit overdispersed data with variance components using varDesign in
  gee
* fit multilevel and nested data with correlation structures using
  corDesign in gee
* fit unbalanced and heterogeneous working correlation with multi-block
  and multi-layer correlation designs

For GLMM modeling:
* inherit the linear mixed-effects models lme function in S-PLUS
* fit a mixed model for data from the exponential family with
  glme function
* fit correlated data from the exponential family without random effects
  with xglm function
* fit multilevel nested data up to two nested random effects
* apply Penalized Quasi-likelihood PQL and Marginal Quasi-likelihood
  MQL methods
* apply Laplace approximation and Adaptive Gaussian Quadrature methods

To load the correlatedData library:

* Under the Windows GUI, click on File => Load Library => correlatedData
* From the command line, use the library command to load it:

    library(correlatedData)

Before using the library we suggest reading the userGuide.pdf and the
help files on gee and glme.

Many features are implemented in this library, and the user's guide
provides an introduction. Some working areas are under development and
will be released in the future versions. Especially, we are working on
multinomial data and GEE for mixed models. If you are interested to see
these or other areas implemented, we would like to learn your comments
and requests. Thanks for your interest.

