Package: springer
Type: Package
Title: Sparse Group Variable Selection for Gene-Environment
        Interactions in the Longitudinal Study
Version: 0.1.9
Author: Fei Zhou, Yuwen Liu, Xi Lu, Jie Ren, Cen Wu
Maintainer: Fei Zhou <fei.zhou@outlook.com>
Description: Recently, regularized variable selection has emerged as a powerful tool to identify and dissect gene-environment interactions. Nevertheless, in longitudinal studies with high dimensional genetic factors, regularization methods for G×E interactions have not been systematically developed. In this package, we provide the implementation of sparse group variable selection, based on both the quadratic inference function (QIF) and generalized estimating equation (GEE), to accommodate the bi-level selection for longitudinal G×E studies with high dimensional genomic features. Alternative methods conducting only the group or individual level selection have also been included. The core modules of the package have been developed in C++. 
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
URL: https://github.com/feizhoustat/springer
BugReports: https://github.com/feizhoustat/springer/issues
LazyData: true
Imports: MASS,Rcpp
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2024-02-01 07:33:20 UTC; feizh
Repository: CRAN
Date/Publication: 2024-02-01 07:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 22:33:05 UTC; unix
Archs: springer.so.dSYM
