mgee2
0.6Marginal Analysis of Misclassified Longitudinal Ordinal Data
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 44%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.6Latest
- RR 4.4.0 released · 2024-04-24
- 0.52023-12-03 · diff ↗
- 0.42023-04-27 · diff ↗
- unarchivedReturned to CRAN2023-04-27
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-11-21issues were not corrected despite reminders
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.22021-05-01 · diff ↗
- 0.12020-11-02
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-11-02
- Total releases
- 5 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 143 KB / 3 files
- Download size
- 111 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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