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interep
View on CRAN: Click
here
Download and install interep package within the R console
Install from CRAN:
install.packages("interep")
Install from Github:
library("remotes")
install_github("cran/interep")
Install by package version:
library("remotes")
install_version("interep", "0.4.1")
Attach the package and use:
library("interep")
Maintained by
Fei Zhou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-03
Latest Update: 2024-01-30
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.
How to cite:
Fei Zhou (2018). interep: Interaction Analysis of Repeated Measure Data. R package version 0.4.1, https://cran.r-project.org/web/packages/interep
Previous versions and publish date:
Other packages that cited interep R package
View interep citation profile
Other R packages that interep depends,
imports, suggests or enhances
Functions, R codes and Examples using
the interep R package
Some associated functions: cv.interep . dat . dmcp . interep . penalty . reformat .
Some associated R codes: RcppExports.R . cv.interep.R . dmcp.R . example.R . interep.R . penalty.R . reformat.R . Full interep package functions and examples
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