R Observatory: Metrics for sparsepca version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sparsepca

0.1.2Package record

Sparse Principal Component Analysis (SPCA)

4packages dependsuggested by 1

47.6Kdownloads / year

0.0%test coverage

11/13flavors OK

Overview

About

Maintained by N. Benjamin ErichsonCRAN page ↗GitHub ↗Issues ↗

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. 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-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). 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: ‘N. Benjamin Erichson <erichson@uw.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("N.", "Benjamin"),
                      family = "Erichson",
                      role = c("aut", "cre"),
                      email = "erichson@uw.edu"),
               person(given = "Peng",
                      family = "Zheng",
                      role = "aut"),
               person(given = "Sasha",
                      family = "Aravkin",
                      role = "aut"))
as necessary.

The Description field contains
  Erichson et al. (2018) <arXiv:1804.00341>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 1.4 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE9 OK, 5 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

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

How these are measured

Downloads

47.6K

CRAN downloads in the past year

Rank #2,121 · ~130/day · ~4K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.1K30 days

8.5K90 days

47.6K1 year

Compare downloads with other packages →

Also on283 r2u3 autocran1.7K conda_forge

How downloads are counted

Repository

erichson/spca ↗Account: erichson

72Stars

10Forks

0Open issues

0Open PRs

0Releases

72Commits

4Commit identities

spcapcadimensionality-reductiondimension-reduction

72 commits · Last activity 2026-10-18 · 0% stars, 30d · Default branch at 1.0.0, ahead of CRAN 0.1.2 (checked 2026-10-21)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 6
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-08-20 · 702026-07-07 · 72

How these are measured

PracticesBeta

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

Checks run against github.com/erichson/spca on 2026-10-21.

Continuous integration (3)

GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Contributing guide

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

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing sparsepca adds 1 package (0 with compiled code, 3.3 MB of source tarballs). Heaviest: rsvd 3.3 MB.

Depends (0)

none

Imports (1)

rsvd

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

3indirect

Imports 4

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

robCompositions clusterability categoryEncodings SparseBiplots

Suggests, most downloaded first

parameters

How these are counted

Code & Tests

People & History

People (from the free-text Author field) (3)

N. Benjamin Erichson

Peng Zheng

Sasha Aravkin

Maintainer since 0.1.2 (2018)

Releases (1)

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
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
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1.2Latest
record
2018-04-11 · current release
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-04-11
Total releases: 1 / 8 yrs
License: GPL (>= 3) OSI
Download size: 8.1 KB

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 v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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