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: 0.2.2 Depends: R (≥ 3.5.0) Imports: mvtnorm, quantreg, Rcpp (≥ 0.10.2), doParallel, foreach LinkingTo: Rcpp, RcppEigen Suggests: methods Published: 2024-11-12 DOI: 10.32614/CRAN.package.geeVerse Author: Tianhai Zu [aut, cre], Brittany Green [aut, ctb], Yan Yu [aut, ctb] Maintainer: Tianhai Zu <zuti at mail.uc.edu> License: GPL-3 NeedsCompilation: yes Materials: README CRAN checks: geeVerse results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=geeVerse to link to this page.
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