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mgee2  

Marginal Analysis of Misclassified Longitudinal Ordinal Data
View on CRAN: Click here


Download and install mgee2 package within the R console
Install from CRAN:
install.packages("mgee2")

Install from Github:
library("remotes")
install_github("cran/mgee2")

Install by package version:
library("remotes")
install_version("mgee2", "0.6")



Attach the package and use:
library("mgee2")
Maintained by
Yuliang Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-02
Latest Update: 2024-11-05
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) .
How to cite:
Yuliang Xu (2020). mgee2: Marginal Analysis of Misclassified Longitudinal Ordinal Data. R package version 0.6, https://cran.r-project.org/web/packages/mgee2. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 0.1 (2020-11-02 10:10), 0.2 (2021-05-01 08:00), 0.4 (2023-04-27 11:40), 0.5 (2023-12-03 05:00)
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Complete documentation for mgee2
Functions, R codes and Examples using the mgee2 R package
Some associated functions: heart . mgee2_pkg . mgee2k . mgee2v . obs1 . ordGEE2 . plot_model . print.summary.mgee2 . summary.mgee2 . 
Some associated R codes: data_document.R . external_pkg.R . globals.R . mgee2k.R . mgee2v.R . ordGEE2.R . plot_model.R . print.summary.mgee2.R . summary.mgee2.R .  Full mgee2 package functions and examples
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