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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 gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: <https://github.com/liygCR/LassoGEE>
NeedsCompilation: yes
CRAN checks: LassoGEE results

Documentation:

Reference manual: LassoGEE.pdf

Downloads:

Package source: LassoGEE_1.0.tar.gz
Windows binaries: r-devel: LassoGEE_1.0.zip, r-release: LassoGEE_1.0.zip, r-oldrel: LassoGEE_1.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LassoGEE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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