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:	0.6
Depends:	R (≥ 3.6.0)
Imports:	MASS, ggplot2
Suggests:	rmarkdown, knitr
Published:	2024-11-05
DOI:	10.32614/CRAN.package.mgee2
Author:	Yuliang Xu [aut, cre], Zhijian Chen [aut], Shuo Shuo Liu [aut], Grace Yi [aut]
Maintainer:	Yuliang Xu <yuliangx at umich.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	mgee2 results

Documentation:

Reference manual:

mgee2.pdf

Downloads:

Package source:	mgee2_0.6.tar.gz
Windows binaries:	r-devel: mgee2_0.6.zip, r-release: mgee2_0.6.zip, r-oldrel: mgee2_0.6.zip
macOS binaries:	r-release (arm64): mgee2_0.6.tgz, r-oldrel (arm64): mgee2_0.6.tgz, r-release (x86_64): mgee2_0.6.tgz, r-oldrel (x86_64): mgee2_0.6.tgz
Old sources:	mgee2 archive

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