R Observatory: Metrics for sparsepca version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sparsepca

0.1.2

Sparse Principal Component Analysis (SPCA)

5packages depend

58.9Kdownloads / year

0.0%test coverage

11/13checks pass

Overview

About

Maintained by N. Benjamin ErichsonFirst published 2018-04-111 releasesCRAN page ↗GitHub ↗

Sparse principal component analysis (SPCA) attempts to find sparse weight vectors (loadings), i.e., a weight vector with only a few 'active' (nonzero) values. This approach provides better interpretability for the principal components in high-dimensional data settings. This is, because the principal components are formed as a linear combination of only a few of the original variables. This package provides efficient routines to compute SPCA. Specifically, a variable projection solver is used to compute the sparse solution. In addition, a fast randomized accelerated SPCA routine and a robust SPCA routine is provided. Robust SPCA allows to capture grossly corrupted entries in the data. The methods are discussed in detail by N. Benjamin Erichson et al. (2018) arXiv:1804.00341.

Install

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

install.packages("sparsepca", 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("erichson/spca")

Development version from erichson/spca. 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-sparsepca

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-sparsepca

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-sparsepca

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: 1.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.27

0.0%

Coverage · measured lines

100%

Documentation · exports

1

Dependencies · direct

Check history

NOTE2026-03-10
9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

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

Downloads

58.9K

CRAN downloads in the past year

Rank #1,955 · ~161/day · ~4.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.1K30 days

11.4K90 days

58.9K1 year

Compare downloads with other packages →

Also on225 r2u13 autocran1.7K conda_forge

Repository

GitHub ↗ erichson/spca

72Stars

10Forks

2Open issues

0Open PRs

0Releases

46Commits

3Contributors

spcapcadimensionality-reductiondimension-reduction

46 commits · Last activity 2018-04-07 · 0% stars, 30d

Stars over time

2025-08-05 · 692026-07-07 · 72

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/erichson/spca on 2026-08-09.

Continuous integration (1)

Travis CI

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

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (0)

none

Imports (1)

rsvd

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

3indirect

SparseBiplots categoryEncodings clusterability robCompositions parameters

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)

and Sasha Aravkin

no longer listed · 0.1.2

N. Benjamin Erichson

no longer listed · 0.1.2

Peng Zheng

no longer listed · 0.1.2

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.2Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2018-04-11
Total releases: 1 / 8 yrs
License: GPL (>= 3) OSI
Download size: 8.1 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparsepca")

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 sparsepca version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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