Robust Gene-Environment Interaction Analysis
Overview
Description: For the risk, progression, and response to treatment of many complex diseases, it has been increasingly recognized that gene-environment interactions play important roles beyond the main genetic and environmental effects. In practical interaction analyses, outliers in response variables and covariates are not uncommon. In addition, missingness in environmental factors is routinely encountered in epidemiological studies. The developed package consists of five robust approaches to address the outliers problems, among which two approaches can also accommodate missingness in environmental factors. Both continuous and right censored responses are considered. The proposed approaches are based on penalization and sparse boosting techniques for identifying important interactions, which are realized using efficient algorithms. Beyond the gene-environment analysis, the developed package can also be adopted to conduct analysis on interactions between other types of low-dimensional and high-dimensional data. (Mengyun Wu et al (2017), doi:10.1080/00949655.2018.1523411; Mengyun Wu et al (2017), doi:10.1002/gepi.22055; Yaqing Xu et al (2018), doi:10.1080/00949655.2018.1523411; Yaqing Xu et al (2019), doi:10.1016/j.ygeno.2018.07.006; Mengyun Wu et al (2021), doi:10.1093/bioinformatics/btab318).
- Remove unnecessary package 'survAUC' in the DESCRIPTION file.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 30
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 32%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 87%
Downloads
Dependencies
Installing GEInter adds 59 packages (33 with compiled code, 57 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
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
- RR 4.3.0 released · 2023-04-21
- 0.3.2Latest
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2021-07-10
- 0.3.12021-07-10 · diff ↗
- archivedRemoved from CRAN2021-05-27check problems were not corrected in time
- RR 4.1.0 released · 2021-05-18
- 0.3.02021-03-22 · diff ↗
- 0.2.0
- 0.1.02021-01-21
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-21
- Total releases
- 5 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.7 MB / 2 files
- Download size
- 2.7 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GEInter")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.