geeVerse: A Comprehensive Analysis of High Dimensional Longitudinal Data

To provide a comprehensive analysis of high dimensional longitudinal data,this package provides analysis for any combination of 1) simultaneous variable selection and estimation, 2) mean regression or quantile regression for heterogeneous data, 3) cross-sectional or longitudinal data, 4) balanced or imbalanced data, 5) moderate, high or even ultra-high dimensional data, via computationally efficient implementations of penalized generalized estimating equations.

Version: 0.1.0
Imports: mvtnorm, quantreg, Rcpp (≥ 0.10.2), doParallel, foreach
LinkingTo: Rcpp, RcppEigen
Suggests: methods
Published: 2024-03-13
DOI: 10.32614/CRAN.package.geeVerse
Author: Tianhai Zu [aut, cre], Brittany Green [aut, ctb], Yan Yu [aut, ctb]
Maintainer: Tianhai Zu <zuti at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: geeVerse results


Reference manual: geeVerse.pdf


Package source: geeVerse_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geeVerse_0.1.0.tgz, r-oldrel (arm64): geeVerse_0.1.0.tgz, r-release (x86_64): geeVerse_0.1.0.tgz, r-oldrel (x86_64): geeVerse_0.1.0.tgz


Please use the canonical form to link to this page.