Package: mgee2
Title: Marginal Analysis of Misclassified Longitudinal Ordinal Data
Version: 0.6
Authors@R: c(
	person("Yuliang", "Xu", email = "yuliangx@umich.edu", role = c("aut","cre")),
	person("Zhijian", "Chen", email = " ", role = "aut"),
        person("Shuo Shuo", "Liu", email = "shuoshuo.liu@psu.edu", role = "aut"),
	person("Grace", "Yi", email = "yyi@uwaterloo.ca", role = "aut"))
Description: 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>.
Depends: R (>= 3.6.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: MASS, ggplot2
LazyData: true
RoxygenNote: 7.1.2
Suggests: rmarkdown, knitr
NeedsCompilation: yes
Packaged: 2024-11-05 06:30:18 UTC; yuliangxu
Author: Yuliang Xu [aut, cre],
  Zhijian Chen [aut],
  Shuo Shuo Liu [aut],
  Grace Yi [aut]
Maintainer: Yuliang Xu <yuliangx@umich.edu>
Repository: CRAN
Date/Publication: 2024-11-05 06:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 06:40:19 UTC; unix
Archs: mgee2.so.dSYM
