R Observatory: Metrics for sparsio version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sparsio

1.0.1Package record

I/O Operations with Sparse Matrices

0packages depend

2.3Kdownloads / year

58.2%test coverage

13/13flavors OK

Overview

About

Maintained by Dmitriy SelivanovCRAN page ↗GitHub ↗Issues ↗

Fast 'SVMlight' reader and writer. 'SVMlight' is most commonly used format for storing sparse matrices (possibly with some target variable) on disk. For additional information about 'SVMlight' format see http://svmlight.joachims.org/.

Install

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

install.packages("sparsio", 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("dselivanov/sparsio")

Development version from dselivanov/sparsio. 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-sparsio

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-sparsio

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-sparsio

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: 3.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 31 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 1
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 71%
Return-value docs: 0%
Help pages citing references: 0%

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #22,650 · ~6/day · ~188/mo

Releases R versions

Daily download trend is not available in this view yet.

22130 days

58790 days

2.3K1 year

Compare downloads with other packages →

Also on351 r2u4 autocran

How downloads are counted

Repository

rexyai/sparsio ↗Organization: rexyaiFork of felixr/sparsity

Moved from dselivanov/sparsio.

11Stars

1Forks

0Open issues

0Open PRs

2Releases

22Commits

2Commit identities

svmlightr

22 commits · Last activity 2020-01-13 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-07-13 · 112026-07-07 · 11

How these are measured

PracticesBeta

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

Checks run against github.com/dselivanov/sparsio on 2026-10-22.

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 sparsio adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (2)

R >= 3.1.0methods

Imports (2)

RcppMatrix

LinkingTo (1)

Rcpp

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Dmitriy Selivanov

Author, Maintainer since 1.0.0 (2017)

Felix Riedel

Author

Releases (2)

Pick two releases to compare their code metrics.

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
1.0.1Latest
record
2020-01-13 · current release · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.0.0
record
2017-06-28
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-06-28
Total releases: 2 / 9 yrs
License: GPL (>= 2) | file LICENSE OSI
Minimum R: ≥ 3.1.0
Download size: 42 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparsio")

Format

Selivanov, D., & Riedel, F. (2020). sparsio: I/O Operations with Sparse Matrices (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.sparsio

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 sparsio version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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