R Observatory: Metrics for kknn version 1.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

kknn

1.4.1Package record

Weighted k-Nearest Neighbors

8packages dependsuggested by 21

152.5Kdownloads / year

0.6%test coverage

13/13flavors OK

Overview

About

Maintained by Klaus SchliepCRAN page ↗GitHub ↗Issues ↗

Weighted k-Nearest Neighbors for Classification, Regression and Clustering.

Install

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

install.packages("kknn", 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("KlausVigo/kknn")

Development version from KlausVigo/kknn. 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-kknn

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-kknn

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-kknn

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.8 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.4.1

READMEYes · 64 wordsVignettesNoNEWSYes · 0% structuredCitation fileNo

Help pages: 8 (1 internal)includes a package overview page
Examples that run: 100%7 run in a plain check
Exported functions with examples: 100%
Documented parameters: 91%
Return-value docs: 100%
Help pages citing references: 63%

How these are measured

Downloads

152.5K

CRAN downloads in the past year

Rank #1,185 · ~418/day · ~12.7K/mo

Releases R versions

Daily download trend is not available in this view yet.

9.1K30 days

28.4K90 days

152.5K1 year

Compare downloads with other packages →

Also on1.4K r2u5 autocran6.7K conda_forge201 c2d4u

How downloads are counted

Repository

klausvigo/kknn ↗Account: KlausVigo

25Stars

10Forks

13Open issues

3Open PRs

0Releases

92Commits

5Commit identities

rnearest-neighbor

92 commits · Last activity 2025-05-19 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 26
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2026-07-14 · 242026-07-17 · 25

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/klausvigo/kknn on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

pkgdown

GitHub Pages site last deployed 2020-02-10

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing kknn adds 9 packages (6 with compiled code, 8.0 MB of source tarballs). Heaviest: igraph 4.8 MB, vctrs 1.0 MB, rlang 766 KB.

Depends (1)

R >= 3.5

Imports (4)

graphicsigraphMatrixstats

LinkingTo (0)

none

Suggests (1)

tinytest

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

12indirect

Imports 8

Suggested by 21

Show all 29 packagesHide all 29 packages

Depends, Imports or LinkingTo, most downloaded first

swfscMisc jrSiCKLSNMF RSDA CCI rminer traineR funcml rgnoisefilt

Suggests, most downloaded first

parsnip tune workflowsets mlr3learners mlr butcher mlrMBO finetune stacks MachineShop healthyR.ai orbital rtemis fastml GenericML sense caretSDM tidyAML ml mlr3automl viralx

How these are counted

Code & Tests

Datasets

People & History

People (3)

Klaus Schliep

Author, Maintainer since 1.0-1 (2004)

Klaus Hechenbichler

Author

Antoine Lizee

Contributor · added in 1.3.1

Releases (19)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2025-05-19
1.4.1Latest
record
2025-05-19 · current release · diff ↗
archivedRemoved from CRAN
2025-05-15
issues were not corrected in time
1.4.0
record
2025-04-16 · diff ↗ ·
removed 1 export
simulation
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
R
R 3.3.0 released · 2016-05-03
1.3.1
record
2016-03-26 · diff ↗

Show 35 earlier eventsHide 35 earlier events

1.3.0
record
2015-07-09 · diff ↗
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
1.2-5
record
2014-02-11 · diff ↗
1.2-4
record
2014-02-11 · diff ↗ ·
added 1 export
kknn.dist
1.2-3
record
2013-12-16 · diff ↗
R
R 3.0.0 released · 2013-04-03
1.2-2
record
2013-03-13 · diff ↗ ·
added 1 export
cv.kknn
1.2-1
record
2012-10-30 · diff ↗
1.2-0
record
2012-10-05 · diff ↗
1.1-2
record
2012-06-22 · diff ↗
R
R 2.15.0 released · 2012-03-30
R
R 2.14.0 released · 2011-10-31
1.1-1
record
2011-10-12 · diff ↗ ·
added 7 exports
simulation, kknn, train.kknn, contr.dummy, contr.metric, contr.ordinal, specClust
R
R 2.13.0 released · 2011-04-13
R
R 2.12.0 released · 2010-10-15
1.0-8
record
2010-08-05 · diff ↗
R
R 2.11.0 released · 2010-04-22
R
R 2.10.0 released · 2009-10-26
1.0-7
record
2009-07-18 · diff ↗
R
R 2.9.0 released · 2009-04-17
R
R 2.8.0 released · 2008-10-20
1.0-6
record
2008-07-20 · diff ↗
R
R 2.7.0 released · 2008-04-22
1.0-5
record
2007-10-11 · diff ↗
R
R 2.6.0 released · 2007-10-03
1.0-4
record
2007-09-13 · diff ↗
R
R 2.5.0 released · 2007-04-24
R
R 2.4.0 released · 2006-10-03
R
R 2.3.0 released · 2006-04-24
1.0.3
record
2006-04-11 · diff ↗
R
R 2.2.0 released · 2005-10-06
R
R 2.1.0 released · 2005-04-18
1.0-1
record
2004-11-22
R
R 2.0.0 released · 2004-10-04

Package metadata

First published: 2004-11-22
Total releases: 19 / 22 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5
Bundled data: 71 KB / 3 files
Download size: 387 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kknn")

Format

Schliep, K., Hechenbichler, K., & Lizee, A. (2025). kknn: Weighted k-Nearest Neighbors (Version 1.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.kknn

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 kknn version 1.4.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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