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interep

Interaction Analysis of Repeated Measure Data

v0.4.1 · Jan 29, 2024 · GPL-2

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.

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CRAN incoming feasibility

Maintainer: ‘Fei Zhou <fei.zhou@outlook.com>’

No Authors@R field in DESCRIPTION.
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  Authors@R: c(person(given = "Fei",
                      family = "Zhou",
                      role = c("aut", "cre"),
                      email = "fei.zhou@outlook.com"),
               person(given = "Jie",
                      family = "Ren",
                      role = "aut"),
               person(given = "Yuwen",
                      family = "Liu",
                      role = "aut"),
               person(given = "Xiaoxi",
                      family = "Li",
                      role = "aut"),
               person(given = "Cen",
                      family = "Wu",
                      role = "aut"),
               person(given = "Yu",
                      family = "Jiang",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Fei Zhou <fei.zhou@outlook.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Fei",
                      family = "Zhou",
                      role = c("aut", "cre"),
                      email = "fei.zhou@outlook.com"),
               person(given = "Jie",
                      family = "Ren",
                      role = "aut"),
               person(given = "Yuwen",
                      family = "Liu",
                      role = "aut"),
               person(given = "Xiaoxi",
                      family = "Li",
                      role = "aut"),
               person(given = "Cen",
                      family = "Wu",
                      role = "aut"),
               person(given = "Yu",
                      family = "Jiang",
                      role = "aut"))
as necessary.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Fei Zhou <fei.zhou@outlook.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Fei",
                      family = "Zhou",
                      role = c("aut", "cre"),
                    
...[truncated]...
le = "aut"),
               person(given = "Cen",
                      family = "Wu",
                      role = "aut"),
               person(given = "Yu",
                      family = "Jiang",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Fei Zhou <fei.zhou@outlook.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Fei",
                      family = "Zhou",
                      role = c("aut", "cre"),
                    
...[truncated]...
le = "aut"),
               person(given = "Cen",
                      family = "Wu",
                      role = "aut"),
               person(given = "Yu",
                      family = "Jiang",
                      role = "aut"))
as necessary.

Dependency Network

Dependencies Reverse dependencies Rcpp MASS interep

Version History

new 0.4.1 Mar 10, 2026
updated 0.4.1 ← 0.4.0 diff Jan 29, 2024
updated 0.4.0 ← 0.3.2 diff Sep 4, 2023
updated 0.3.2 ← 0.3.1 diff Sep 13, 2021
updated 0.3.1 ← 0.3.0 diff Apr 19, 2020
updated 0.3.0 ← 0.2.0 diff Oct 13, 2019
updated 0.2.0 ← 0.1.0 diff Nov 9, 2018
new 0.1.0 Sep 2, 2018