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.
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