mgee2: Marginal Analysis of Misclassified Longitudinal Ordinal Data

Three estimating equation methods are provided in this package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates. The naive analysis which is solely based on the observed data without adjustment may lead to bias. The corrected generalized estimating equations (GEE2) method which is unbiased requires the misclassification parameters to be known beforehand. The corrected generalized estimating equations (GEE2) with validation subsample method estimates the misclassification parameters based on a given validation set. This package is an implementation of Chen (2013) <doi:10.1002/bimj.201200195>.

Version: 0.1
Depends: R (≥ 3.6.0)
Imports: MASS, Matrix, ggplot2
Published: 2020-11-02
Author: Yuliang Xu [aut, cre], Zhijian Chen [aut], Shuo Shuo Liu [aut], Grace Yi [aut]
Maintainer: Yuliang Xu <y455xu at uwaterloo.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mgee2 results

Downloads:

Reference manual: mgee2.pdf
Package source: mgee2_0.1.tar.gz
Windows binaries: r-devel: mgee2_0.1.zip, r-release: mgee2_0.1.zip, r-oldrel: mgee2_0.1.zip
macOS binaries: r-release: mgee2_0.1.tgz, r-oldrel: mgee2_0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mgee2 to link to this page.