Package: interep
Type: Package
Title: Interaction Analysis of Repeated Measure Data
Version: 0.4.1
Author: Fei Zhou, Jie Ren, Yuwen Liu, Xiaoxi Li, Cen Wu, Yu Jiang
Maintainer: Fei Zhou <fei.zhou@outlook.com>
Description: 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.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Rcpp, MASS
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/feizhoustat/interep
BugReports: https://github.com/feizhoustat/interep/issues
NeedsCompilation: yes
Packaged: 2024-01-30 03:52:28 UTC; feizh
Repository: CRAN
Date/Publication: 2024-01-30 04:10:02 UTC
RoxygenNote: 7.2.3
Built: R 4.3.1; aarch64-apple-darwin20; 2024-01-30 04:17:15 UTC; unix
Archs: interep.so.dSYM
