R Observatory: Metrics for bigPCAcpp version 0.9.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bigPCAcpp

0.9.1

Principal Component Analysis for 'bigmemory' Matrices

0packages depend

3.6Kdownloads / year

81.2%test coverage

13/13checks pass

Overview

About

Maintained by Frederic BertrandFirst published 2025-10-202 releasesCRAN page ↗GitHub ↗

High performance principal component analysis routines that operate directly on bigmemory::big.matrix() objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) doi:10.1145/2723372.2751520.

Install

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

install.packages("bigPCAcpp", 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("fbertran/bigPCAcpp")

Development version from fbertran/bigPCAcpp. 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-bigpcacpp

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-bigPCAcpp

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-bigPCAcpp

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

Health

CRAN checks

13OK

Slowest check: 3.3 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.29

81.2%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-25
11 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 4 earlier snapshots

ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-16
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-28
13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 708 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 83%
Documented parameters: 98%
Return-value docs: 100%
References docs: 5%

Downloads

3.6K

CRAN downloads in the past year

Rank #8,028 · ~10/day · ~301/mo

Releases R versions

Daily download trend is not available in this view yet.

22530 days

1.1K90 days

3.6K1 year

Compare downloads with other packages →

Also on344 r2u30 autocran

Repository

GitHub ↗ fbertran/bigpcacpp

9Stars

0Forks

1Open issues

0Open PRs

0Releases

22Commits

1Contributors

22 commits · Last activity 2026-07-01 · 0% stars, 30d

Stars over time

2025-10-15 · 42026-07-07 · 9

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fbertran/bigpcacpp on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (3)

Rcppmethodswithr

LinkingTo (3)

Rcpp bigmemory BH

Suggests (7)

bench bigmemory ggplot2 irlba knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Frederic Bertrand

Author, Maintainer

Authors (1)

Frederic Bertrand

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.9.1Latest
2026-03-25 · current release · diff ↗
0.9.0
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-10-20
Total releases: 2 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 3.4 KB / 1 file
Download size: 1.3 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bigPCAcpp")

Format

Bertrand, F. (2026). bigPCAcpp: Principal Component Analysis for 'bigmemory' Matrices (Version 0.9.1) [Computer software]. https://doi.org/10.32614/CRAN.package.bigPCAcpp

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 bigPCAcpp version 0.9.1 [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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