R Observatory: Metrics for colf version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2026-04-30. Its history is shown below.

Reason: email to the maintainer is undeliverable

Details below reflect version 0.1.3, its last release before removal.

colf

0.1.3Package record

Constrained Optimization on Linear Function

0packages depend

2.6Kdownloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Theo BoutarisCRAN page ↗GitHub ↗

Performs least squares constrained optimization on a linear objective function. It contains a number of algorithms to choose from and offers a formula syntax similar to lm().

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/colf/colf_0.1.3.tar.gz"
pkgFile <- "colf_0.1.3.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 (0.1.3) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("LyzandeR/colf")

Development version from LyzandeR/colf. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes

OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.3

READMEYes · 151 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10
Examples that run: 100%10 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #25,637 · ~7/day · ~214/mo

Releases R versions

Daily download trend is not available in this view yet.

030 days

090 days

2.6K1 year

Compare downloads with other packages →

Also on89 r2u3 autocran131 c2d4u

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (4)

R >= 3.2.0nlsrstatsutils

Imports (0)

none

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Theo Boutaris

Releases (2)

Pick two releases to compare their code metrics.

archivedRemoved from CRAN
2026-04-30
email to the maintainer is undeliverable
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
0.1.3
record
2017-10-09 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1.2
record
2016-12-03
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-12-03
Total releases: 2 / 10 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.2.0
Download size: 26 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("colf")

Format

Boutaris, T. (n.d.). colf: Constrained Optimization on Linear Function (Version 0.1.3) [Computer software]. Retrieved October 22, 2026, from https://CRAN.R-project.org/package=colf

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 colf version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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