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interep: Interaction Analysis of Repeated Measure 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.

Version: 0.4.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, MASS
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-01-30
DOI: 10.32614/CRAN.package.interep
Author: Fei Zhou, Jie Ren, Yuwen Liu, Xiaoxi Li, Cen Wu, Yu Jiang
Maintainer: Fei Zhou <fei.zhou at outlook.com>
BugReports: https://github.com/feizhoustat/interep/issues
License: GPL-2
URL: https://github.com/feizhoustat/interep
NeedsCompilation: yes
Materials: README NEWS
In views: Omics
CRAN checks: interep results

Documentation:

Reference manual: interep.pdf

Downloads:

Package source: interep_0.4.1.tar.gz
Windows binaries: r-devel: interep_0.4.1.zip, r-release: interep_0.4.1.zip, r-oldrel: interep_0.4.1.zip
macOS binaries: r-release (arm64): interep_0.4.1.tgz, r-oldrel (arm64): interep_0.4.1.tgz, r-release (x86_64): interep_0.4.1.tgz, r-oldrel (x86_64): interep_0.4.1.tgz
Old sources: interep archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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