AyaMitani/CWGEE: Cluster-weighted generalized estimating equations for data with informative cluster size

This package includes functions to fit a model using cluster-weighted generalized estimating equations (CWGEE) for clustered longitudinal data with informative cluster size (ICS). For ordinal outcomes, use the function ordCWGEE. Function for binary outcomes is coming soon. For cross-sectional data with multiple correlated binary outcomes, use the function mvoCWGEE. A simulated example data sets (perio, perio_base) are available.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.0
URL https://github.com/AyaMitani/CWGEE/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AyaMitani/CWGEE")
AyaMitani/CWGEE documentation built on July 11, 2019, 5:43 p.m.