LassoGEE: High-Dimensional Lasso Generalized Estimating Equations

Fits generalized estimating equations with L1 regularization to longitudinal data with high dimensional covariates. Use a efficient iterative composite gradient descent algorithm.

Version: 1.0
Depends: R (≥ 3.6.0)
Imports: Rcpp (≥ 1.0.4), PGEE, MASS, mvtnorm, caret, SimCorMultRes
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-11-06
DOI: 10.32614/CRAN.package.LassoGEE
Author: Yaguang Li, Xin Gao, Wei Xu
Maintainer: Yaguang Li <liygcr7 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: <>
NeedsCompilation: yes
CRAN checks: LassoGEE results


Reference manual: LassoGEE.pdf


Package source: LassoGEE_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): LassoGEE_1.0.tgz, r-oldrel (arm64): LassoGEE_1.0.tgz, r-release (x86_64): LassoGEE_1.0.tgz, r-oldrel (x86_64): LassoGEE_1.0.tgz


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