R Observatory: Metrics for interep version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

interep

0.4.1Package record

Interaction Analysis of Repeated Measure Data

0packages depend

3.3Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Fei ZhouCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.4.1

Fixed minors and errors.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("interep", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("feizhoustat/interep")

Development version from feizhoustat/interep. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-interep

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-interep

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-interep

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

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.

CRAN check page ↗

Slowest check: 2.7 min · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.1

READMEYes · 275 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 100%3 run in a plain check
Exported functions with examples: 40%
Documented parameters: 100%
Return-value docs: 80%
Help pages citing references: 50%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #12,564 · ~9/day · ~279/mo

Releases R versions

Daily download trend is not available in this view yet.

33230 days

90490 days

3.3K1 year

Compare downloads with other packages →

Also on617 r2u8 autocran63 c2d4u

How downloads are counted

Repository

feizhoustat/interep ↗Account: feizhoustat

2Stars

2Forks

0Open issues

0Open PRs

0Releases

85Commits

1Commit identities

85 commits · Last activity 2024-01-30

Responsiveness

not measured

Stars over time

2023-11-24 · 22026-07-07 · 2

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/feizhoustat/interep on 2026-10-25.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing interep adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (2)

RcppMASS

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (from the free-text Author field) (6)

· added in 0.4.0

· added in 0.2.0

Maintainer since 0.1.0 (2018)

Listed in earlier versions (1)

Yinhao Du

no longer listed · 0.1.0

Releases (7)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.4.1Latest
record
2024-01-30 · current release · diff ↗
0.4.0
record
2023-09-05 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.3.2
record
2021-09-14 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.3.1
record
2020-04-20 · diff ↗
0.3.0
record
2019-10-14 · diff ↗ ·
removed 1 export
CorrR

added 1 export
penalty
R
R 3.6.0 released · 2019-04-26
0.2.0
record
2018-11-10 · diff ↗
0.1.0
record
2018-09-03
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-09-03
Total releases: 7 / 8 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 573 KB / 1 file
Download size: 586 KB

Appears in task views

Genomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("interep")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for interep version 0.4.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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