Other packages > Find by keyword >

GEInter  

Robust Gene-Environment Interaction Analysis
View on CRAN: Click here


Download and install GEInter package within the R console
Install from CRAN:
install.packages("GEInter")

Install from Github:
library("remotes")
install_github("cran/GEInter")

Install by package version:
library("remotes")
install_version("GEInter", "0.3.2")



Attach the package and use:
library("GEInter")
Maintained by
Xing Qin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-21
Latest Update: 2022-05-19
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), ; Mengyun Wu et al (2017), ; Yaqing Xu et al (2018), ; Yaqing Xu et al (2019), ; Mengyun Wu et al (2021), ).
How to cite:
Xing Qin (2021). GEInter: Robust Gene-Environment Interaction Analysis. R package version 0.3.2, https://cran.r-project.org/web/packages/GEInter. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-01-21 09:20), 0.2.0 (2021-03-01 14:40), 0.3.0 (2021-03-22 08:20), 0.3.1 (2021-07-10 18:20)
Other packages that cited GEInter R package
View GEInter citation profile
Other R packages that GEInter depends, imports, suggests or enhances
Complete documentation for GEInter
Functions, R codes and Examples using the GEInter R package
Some associated functions: AR . Augmented.data . BLMCP . HNSCC . Miss.boosting . PTReg . QPCorr.matrix . QPCorr.pval . RobSBoosting . Rob_data . bic.BLMCP . bic.PTReg . coef.BLMCP . coef.PTReg . coef.RobSBoosting . coef.bic.BLMCP . coef.bic.PTReg . plot.BLMCP . plot.Miss.boosting . plot.PTReg . plot.RobSBoosting . plot.bic.BLMCP . plot.bic.PTReg . predict.BLMCP . predict.Miss.boosting . predict.PTReg . predict.RobSBoosting . predict.bic.BLMCP . predict.bic.PTReg . simulated_data . 
Some associated R codes: AR.R . Augmented.data.R . BLMCP.R . KMExpection.R . MCP_Hier.R . Miss.boosting.R . PTReg.R . QPCorr.matrix.R . QPCorr.pval.R . RobSBoosting.R . basis.matrix.R . bic.BLMCP.R . bic.PTReg.R . boosting.robust.spline.R . boosting_impute.R . coef.BLMCP.R . coef.PTReg.R . coef.RobSBoosting.R . coef.bic.BLMCP.R . coef.bic.PTReg.R . combine_results.R . cqpcorr.R . data.R . design.matrix.R . emprand.R . kernel_function.R . kmw.R . lambda_funtion.R . ls.spline.R . pen.ls.R . pen.m.R . plot.BLMCP.R . plot.Miss.boosting.R . plot.PTReg.R . plot.RobSBoosting.R . plot.bic.BLMCP.R . plot.bic.PTReg.R . predict.BLMCP.R . predict.Miss.boosting.R . predict.PTReg.R . predict.RobSBoosting.R . predict.bic.BLMCP.R . predict.bic.PTReg.R . predict_boosting2.R . ptr1.R . reweight.R . robust.spline.R . simulated_data.R . soft_threshold.R . which.column.R .  Full GEInter package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA