Interaction Analysis of Repeatedly Measured Data

Extensive penalized variable selection methods have been developed in the past two decades for analyzing high dimensional omics data, such as gene expressions, single nucleotide polymorphisms (SNPs), copy number variations (CNVs) and others. However, lipidomics data have been rarely investigated by using high dimensional variable selection methods. This package incorporates our recently developed penalization procedures to conduct interaction analysis for high dimensional lipidomics data with repeated measurements. The core module of this package is developed in C++. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("interep")

0.2.0 by Fei Zhou, 10 months ago


https://github.com/feizhoustat/interep


Report a bug at https://github.com/feizhoustat/interep/issues


Browse source code at https://github.com/cran/interep


Authors: Fei Zhou , Jie Ren , Xiaoxi Li , Cen Wu , Yu Jiang


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN