Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study
Overview
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++.
- Fixed the problems in CRAN checks
From NEWS.md in the release
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Fei Zhou <fei.zhou@outlook.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Fei",
family = "Zhou",
role = c("aut", "cre"),
email = "fei.zhou@outlook.com"),
person(given = "Yuwen",
family = "Liu",
role = "aut"),
person(given = "Xi",
family = "Lu",
role = "aut"),
person(given = "Jie",
family = "Ren",
role = "aut"),
person(given = "Cen",
family = "Wu",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 40%
- Documented parameters
- 100%
- Return-value docs
- 80%
- Help pages citing references
- 25%
Downloads
Repository
Stars over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/feizhoustat/springer on 2026-10-21.
Dependencies
Installing springer adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
Maintainer since 0.1.1 (2020)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.9Latest
- 0.1.82023-09-05 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.1.72023-01-06 · diff ↗
- 0.1.62022-12-21 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1.52021-09-14 · diff ↗
- 0.1.42021-07-26 · diff ↗
- 0.1.32021-07-24 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.1.22020-07-05 · diff ↗
- 0.1.12020-06-28
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-06-28
- Total releases
- 9 / 6 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 31 KB / 1 file
- Download size
- 51 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("springer")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.