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: |
0.5 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
MASS, ggplot2 |
| Suggests: |
rmarkdown, knitr |
| Published: |
2023-12-03 |
| 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 [issues need fixing before 2024-11-04] |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mgee2
to link to this page.