R Observatory: Metrics for RelimpPCR version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RelimpPCR

0.3.0

Relative Importance PCA Regression

0packages depend

2.2Kdownloads / year

59.2%test coverage

11/13checks pass

Overview

About

Maintained by Michael HernandezFirst published 2017-10-044 releasesCRAN page ↗GitHub ↗

Performs Principal Components Analysis (also known as PCA) dimensionality reduction in the context of a linear regression. In most cases, PCA dimensionality reduction is performed independent of the response variable for a regression. This captures the majority of the variance of the model's predictors, but may not actually be the optimal dimensionality reduction solution for a regression against the response variable. An alternative method, optimized for a regression against the response variable, is to use both PCA and a relative importance measure. This package applies PCA to a given data frame of predictors, and then calculates the relative importance of each PCA factor against the response variable. It outputs ordered factors that are optimized for model fit. By performing dimensionality reduction with this method, an individual can achieve a the same r-squared value as performing just PCA, but with fewer PCA factors. References: Yuri Balasanov (2017) https://ilykei.com.

Install

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

install.packages("RelimpPCR", 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("mhernan88/RelimpPCR")

Development version from mhernan88/RelimpPCR. 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-relimppcr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-RelimpPCR

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-RelimpPCR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.19

59.2%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

NOTE2026-06-09
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-05-02
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-25
9 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.2K

CRAN downloads in the past year

Rank #19,180 · ~6/day · ~184/mo

Releases R versions

Daily download trend is not available in this view yet.

13230 days

57090 days

2.2K1 year

Compare downloads with other packages →

Also on95 r2u9 autocran

Repository

GitHub ↗ mhernan88/relimppcr

2Stars

1Forks

1Open issues

0Open PRs

2Releases

93Commits

4Contributors

rpcaregression

93 commits · Last activity 2026-07-01

Stars over time

2018-07-05 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/mhernan88/relimppcr on 2026-08-16.

Continuous integration (1)

GitHub Actions

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.3.0

Imports (6)

relaimpo Rmisc caret ggplot2 reshape2 logger

LinkingTo (0)

none

Suggests (2)

paralleltestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)

Yuri Balasanov

no longer listed · 0.2.2 to 0.3.0

Michael Hernandez

no longer listed · 0.2.2 to 0.3.0

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

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
0.3.0Latest
2023-06-01 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.2.4
2019-05-02 · diff ↗
unarchivedReturned to CRAN
2019-05-02
R
R 3.6.0 released · 2019-04-26
archivedRemoved from CRAN
2019-04-22
check errors were not corrected despite reminders
R
R 3.5.0 released · 2018-04-23
0.2.3
2017-10-05 · diff ↗
0.2.2
2017-10-04
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-10-04
Total releases: 4 / 9 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.3.0
Download size: 9.4 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RelimpPCR")

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 RelimpPCR version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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