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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6 |
rolling linux/jammy R-4.5 | mgee2_0.6.tar.gz |
207.3 KiB |
0.6 |
rolling linux/noble R-4.5 | mgee2_0.6.tar.gz |
208.6 KiB |
0.6 |
rolling source/ R- | mgee2_0.6.tar.gz |
110.9 KiB |
0.6 |
latest linux/jammy R-4.5 | mgee2_0.6.tar.gz |
207.3 KiB |
0.6 |
latest linux/noble R-4.5 | mgee2_0.6.tar.gz |
208.6 KiB |
0.6 |
latest source/ R- | mgee2_0.6.tar.gz |
110.9 KiB |
0.6 |
2026-04-26 source/ R- | mgee2_0.6.tar.gz |
110.9 KiB |
0.6 |
2026-04-23 source/ R- | mgee2_0.6.tar.gz |
110.9 KiB |
0.6 |
2026-04-09 windows/windows R-4.5 | mgee2_0.6.zip |
216.6 KiB |
0.6 |
2025-04-20 source/ R- | mgee2_0.6.tar.gz |
110.9 KiB |