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CKNNRLD

0.2.2Package record

Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data

0packages depend
1.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements the 'CKNNRLD' algorithm (Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data) for improving K-Nearest Neighbor ('KNN') regression on longitudinal data through cluster-based partitioning and localized prediction. Offers enhanced computational efficiency and accuracy for high-volume longitudinal datasets. The acronym 'KNN' stands for K-Nearest Neighbor. References: Loeloe MS, Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025). "Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach." BMC Bioinformatics, 26, 232. doi:10.1186/s12859-025-06205-1.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK7 OK2026-05-29
Advisories

none known

Documentation

In release 0.2.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
17
Examples that run
46%6 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
89%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.2K
CRAN downloads in the past year
Rank #22,918 · ~3/day · ~97/mo
Daily download trend is not available in this view yet.
22130 days
57190 days
1.2K1 year
Compare downloads with other packages →
Also on34 r2u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing CKNNRLD adds 86 packages (52 with compiled code, 82 MB of source tarballs). Heaviest: BH 14 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.5.0
Imports (5)
DirectionalgraphicsgrDevicesRfaststats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 0.1.2 (2026)
Author, Thesis advisor
Releases (4)

Pick two releases to compare their code metrics.

  • 0.2.2Latest
    record
    2026-07-13 · current release · diff ↗
  • 0.2.0
    record
    2026-07-10 · diff ↗ ·
    added 4 exports
    benchmark.CKNNRLD, importance.CKNNRLD, performance.CKNNRLD, simulateCKNNRLD
  • 0.1.4
    record
    2026-06-09 · diff ↗
  • 0.1.2
    record
    2026-05-28
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-28
Total releases
4 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
5.9 KB / 1 file
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CKNNRLD")
Loeloe, M. S., Jambarsang, S., Mehrparvar, A. H., Sefidkar, R., & Tabatabaei, S. M. (2026). CKNNRLD: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.CKNNRLD

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CKNNRLD version 0.2.2 [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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