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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 |
| Reference manual: | LassoGEE.pdf |
| 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 |
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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.