Skip to content

piqp

0.6.2

R Interface to Proximal Interior Point Quadratic Programming Solver

1packages depend
3.5Kdownloads / year
63.5%test coverage
13/13checks pass

Overview

About
Maintained by Balasubramanian NarasimhanFirst published 2023-08-142 releasesCRAN page ↗GitHub ↗

An embedded proximal interior point quadratic programming solver, which can solve dense and sparse quadratic programs, described in Schwan, Jiang, Kuhn, and Jones (2023) doi:10.48550/arXiv.2304.00290. Combining an infeasible interior point method with the proximal method of multipliers, the algorithm can handle ill-conditioned convex quadratic programming problems without the need for linear independence of the constraints. The solver is written in header only 'C++ 14' leveraging the 'Eigen' library for vectorized linear algebra. For small dense problems, vectorized instructions and cache locality can be exploited more efficiently. Allocation free problem updates and re-solves are also provided.

Install

Health

CRAN checks
13OK
Slowest check: 4.1 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.01
63.5%
Coverage · measured lines
100%
Documentation · exports
4
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-06-08
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 46 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
88%
References docs
9%

Downloads

3.5K
CRAN downloads in the past year
Rank #7,820 · ~10/day · ~295/mo
Daily download trend is not available in this view yet.
27330 days
1.1K90 days
3.5K1 year
Compare downloads with other packages →
Also on428 r2u17 autocran29 c2d4u

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
1Releases
32Commits
2Contributors
32 commits · Last activity 2026-02-18 · 0% stars, 30d

Stars over time

2026-02-28 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/predict-epfl/piqp-r on 2026-08-23.

Continuous integration (1)
GitHub Actions
Git structural (1)
Submodules
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (4)
MatrixmethodsRcppS7
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Author, Copyright holder
Copyright holders (1)
Author, Copyright holder
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
  • 0.6.2Latest
    2026-02-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2.2
    2023-08-14
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-08-14
Total releases
2 / 3 yrs
License
BSD_2_clause + file LICENSE OSI
Download size
153 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("piqp")
Narasimhan, B., Jiang, Y., Jones, C. N., Kuhn, D., & Schwan, R. (2026). piqp: R Interface to Proximal Interior Point Quadratic Programming Solver (Version 0.6.2) [Computer software]. https://doi.org/10.32614/CRAN.package.piqp

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for piqp version 0.6.2 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy