Package: GEInter
Type: Package
Title: Robust Gene-Environment Interaction Analysis
Version: 0.3.2
Authors@R: c(person("Mengyun", "Wu", role=c("aut"), email = "wu.mengyun@mail.shufe.edu.cn"),
	     person("Xing", "Qin", role=c("aut","cre"), email = "qin.xing@163.sufe.edu.cn"),
	     person("Shuangge", "Ma", role=c("aut"), email = "shuangge.ma@yale.edu"))
Maintainer: Xing Qin <qin.xing@163.sufe.edu.cn>
Description: 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>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: MASS, splines, pcaPP, Hmisc, survival, quantreg, reshape2,
        ggplot2, stats, graphics
RoxygenNote: 7.1.2
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-09-27 07:59:42 UTC; root
Author: Mengyun Wu [aut], Xing Qin [aut, cre], Shuangge Ma [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2022-05-19 05:50:19 UTC
RemoteUrl: https://github.com/cran/GEInter
RemoteRef: HEAD
RemoteSha: 3d392711bf9ea6f46fecb3a36b79c91753922a08
Built: R 4.6.0; ; 2026-09-27 08:02:23 UTC; unix
