R Observatory: Metrics for ksharp version 0.1.0.1

Balamuta, James Joseph

ksharp

0.1.0.1

Cluster Sharpening

0packages depend

2.3Kdownloads / year

100.0%test coverage

13/13checks pass

Overview

About

Maintained by Tomasz KonopkaFirst published 2020-01-261 releasesCRAN page ↗GitHub ↗

Clustering typically assigns data points into discrete groups, but the clusters can sometimes be indistinct. Cluster sharpening adjusts an existing clustering to create contrast between groups. This package provides a general interface for cluster sharpening along with several implementations based on different excision criteria.

Install

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

install.packages("ksharp", 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("tkonopka/ksharp")

Development version from tkonopka/ksharp. 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-ksharp

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

# 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-ksharp

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-ksharp

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

Health

CRAN checks

13OK

Slowest check: 1.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.78

100.0%

Coverage · measured lines

100%

Documentation · exports

2

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.3K

CRAN downloads in the past year

Rank #18,589 · ~6/day · ~189/mo

Releases R versions

Daily download trend is not available in this view yet.

16130 days

57790 days

2.3K1 year

Compare downloads with other packages →

Also on91 r2u4 autocran

Repository

GitHub ↗ tkonopka/ksharp

2Stars

0Forks

0Open issues

0Open PRs

1Releases

15Commits

1Contributors

15 commits · Last activity 2021-12-10

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/tkonopka/ksharp on 2026-08-03.

Continuous integration (1)

Travis CI

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (2)

methodsstats

LinkingTo (0)

none

Suggests (6)

clusterdbscan knitr Rcssplot rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Tomasz Konopka

Author, Maintainer

Authors (1)

Tomasz Konopka

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0.1Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2020-01-26
Total releases: 1 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 34 KB / 4 files
Download size: 470 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("ksharp")

CRAN DOI

https://doi.org/10.32614/CRAN.package.ksharp

BibTeX, derived from DESCRIPTION

@Manual{ksharp,
  title  = {ksharp: Cluster Sharpening},
  author = {Konopka, Tomasz},
  year   = {2020},
  note   = {R package version 0.1.0.1},
  doi    = {10.32614/CRAN.package.ksharp},
  url    = {https://CRAN.R-project.org/package=ksharp}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryksharp,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {ksharp} version 0.1.0.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/ksharp},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ksharp version 0.1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/ksharp

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for ksharp version 0.1.0.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/ksharp
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/ksharp.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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