R Observatory: Metrics for sdpt3r version 0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2024-11-25. Its history is shown below.

Reason: issues were not corrected despite reminders

Details below reflect version 0.3, its last release before removal.

sdpt3r

0.3Package record

Semi-Definite Quadratic Linear Programming Solver

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Adam RahmanCRAN page ↗

Solves the general Semi-Definite Linear Programming formulation using an R implementation of SDPT3 (K.C. Toh, M.J. Todd, and R.H. Tutuncu (1999) doi:10.1080/10556789908805762). This includes problems such as the nearest correlation matrix problem (Higham (2002) doi:10.1093/imanum/22.3.329), D-optimal experimental design (Smith (1918) doi:10.2307/2331929), Distance Weighted Discrimination (Marron and Todd (2012) doi:10.1198/016214507000001120), as well as graph theory problems including the maximum cut problem. Technical details surrounding SDPT3 can be found in R.H Tutuncu, K.C. Toh, and M.J. Todd (2003) doi:10.1007/s10107-002-0347-5.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/sdpt3r/sdpt3r_0.3.tar.gz"
pkgFile <- "sdpt3r_0.3.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.3) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3

READMENoVignettesYes · 12 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 31
Examples that run: 100%18 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 3%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on304 r2u8 autocran165 c2d4u

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (2)

R >= 2.10Matrix

Imports (2)

methodsstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Contributor

Contributor

Contributor

Contributor

Contributor

Contributor

Maintainer since 0.1 (2017)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.5.0 released · 2025-04-11
archivedRemoved from CRAN
2024-11-25
issues were not corrected despite reminders
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
unarchivedReturned to CRAN
2019-02-11
0.3
record
2019-02-11 · diff ↗
archivedRemoved from CRAN
2019-01-24
check issues were not corrected in time
0.2
record
2018-10-18 · diff ↗ ·
removed 1 export
control

added 1 export
control_theory
R
R 3.5.0 released · 2018-04-23
0.1
record
2017-09-04
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-09-04
Total releases: 3 / 9 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 6.0 KB / 13 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sdpt3r")

Format

Toh, K., Todd, M., Tutunco, R., Rahman, A., Davis, T. A., & Larimore, S. I. (n.d.). sdpt3r: Semi-Definite Quadratic Linear Programming Solver (Version 0.3) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=sdpt3r

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 sdpt3r version 0.3 [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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