Package: mgee2 0.6

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>.

Authors:Yuliang Xu [aut, cre], Zhijian Chen [aut], Shuo Shuo Liu [aut], Grace Yi [aut]

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mgee2/json (API)

# Install 'mgee2' in R:
install.packages('mgee2', repos = c('https://yuliangxu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • heart - Heart: preprocessed Framingham Heart Study Teaching data
  • obs1 - Obs1: simulated observed data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 3 scripts 191 downloads 4 exports 28 dependencies

Last updated 18 days agofrom:9b517bb903. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:mgee2kmgee2vordGEE2plot_model

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr