R Observatory: Metrics for sparseLRMatrix version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sparseLRMatrix

0.1.0Package record

Represent and Use Sparse + Low Rank Matrices

1packages depend

2.4Kdownloads / year

100.0%test coverage

13/13flavors OK

Overview

About

Maintained by Alex HayesCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides an S4 class for representing and interacting with sparse plus rank matrices. At the moment the implementation is quite spare, but the plan is eventually subclass Matrix objects.

Install

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

install.packages("sparseLRMatrix", 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("RoheLab/sparseLRMatrix")

Development version from RoheLab/sparseLRMatrix. 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-sparselrmatrix

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-sparseLRMatrix

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-sparseLRMatrix

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

13OK

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 99 wordsVignettesNoNEWSNoCitation fileNoWebsiteYes · pkgdown

Help pages: 5 (1 internal)
Examples that run: 100%4 run in a plain check
Exported functions with examples: 50%
Documented parameters: 100%
Return-value docs: 50%
Help pages citing references: 0%

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #18,221 · ~6/day · ~196/mo

Releases R versions

Daily download trend is not available in this view yet.

23130 days

71690 days

2.4K1 year

Compare downloads with other packages →

Also on73 r2u

How downloads are counted

Repository

rohelab/sparselrmatrix ↗Organization: RoheLab

1Stars

0Forks

2Open issues

0Open PRs

1Releases

21Commits

1Commit identities

21 commits · Last activity 2021-03-02 · Default branch at 0.1.0.9000, ahead of CRAN 0.1.0 (checked 2026-10-22)

Responsiveness

not measured

Stars over time

2020-09-24 · 12026-07-07 · 1

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/rohelab/sparselrmatrix on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2021-03-02 · The repository has a site deploy workflow

pkgdown site last built 2021-03-02

Coverage (1)

Coverage reporting (Codecov)

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

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 sparseLRMatrix adds 3 packages (3 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RSpectra 125 KB.

Depends (2)

Matrixmethods

Imports (1)

RSpectra

LinkingTo (0)

none

Suggests (2)

covr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

1indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

invertiforms

How these are counted

Code & Tests

People & History

People (1)

Alex Hayes

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
0.1.0Latest
record
2021-03-02 · current release
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-03-02
Total releases: 1 / 5 yrs
License: MIT + file LICENSE OSI
Download size: 4.3 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparseLRMatrix")

Format

Hayes, A. (2021). sparseLRMatrix: Represent and Use Sparse + Low Rank Matrices (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.sparseLRMatrix

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 sparseLRMatrix version 0.1.0 [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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