R Observatory: Metrics for skm version 0.1.5.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-11-28. Its history is shown below.

Reason: issues were not corrected despite reminders

Details below reflect version 0.1.5.4, its last release before removal.

skm

0.1.5.4

Selective k-Means

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Guang Yang1 releasesCRAN page ↗GitHub ↗

Algorithms for solving selective k-means problem, which is defined as finding k rows in an m x n matrix such that the sum of each column minimal is minimized. In the scenario when m == n and each cell value in matrix is a valid distance metric, this is equivalent to a k-means problem. The selective k-means extends the k-means problem in the sense that it is possible to have m != n, often the case m < n which implies the search is limited within a small subset of rows. Also, the selective k-means extends the k-means problem in the sense that the instance in row set can be instance not seen in the column set, e.g., select 2 from 3 internet service provider (row) for 5 houses (column) such that minimize the overall cost (cell value) - overall cost is the sum of the column minimal of the selected 2 service provider.

Install

R (source archive)pak (dev)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/skm/skm_0.1.5.4.tar.gz"
pkgFile <- "skm_0.1.5.4.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 (0.1.5.4) 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("gyang274/skm")

Development version from gyang274/skm. 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-skm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# 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-skm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

6

Dependencies · direct

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: not tracked
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 0%

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on357 r2u14 autocran

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.0.0magrittr data.table

Imports (4)

methodsplyr Rcpp RcppParallel

LinkingTo (3)

Rcpp RcppArmadillo RcppParallel

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Other (1)

Guang Yang

Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-11-28
issues were not corrected despite reminders
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
R
R 3.4.0 released · 2017-04-21
0.1.5.4
2017-01-23
R
R 3.3.0 released · 2016-05-03

Package metadata

Total releases: 1
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.0.0
Bundled data: 778 KB / 2 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("skm")

Format

Yang, G. (n.d.). skm: Selective k-Means (Version 0.1.5.4) [Computer software]. Retrieved August 14, 2026, from https://CRAN.R-project.org/package=skm

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for skm version 0.1.5.4 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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