CKNNRLD: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data

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 clustering is performed using the 'latrend' package, which provides a unified interface for various longitudinal clustering methods including 'KML' (K-Means for Longitudinal data). The acronym 'KNN' stands for K-Nearest Neighbor. The acronym 'KML' stands for K-Means for Longitudinal data. 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>; Genolini C, Falissard B (2010). "KmL: k-means for longitudinal data." Computational Statistics, 25(2), 317-328. <doi:10.1007/s00180-009-0178-4>.

Version:	0.1.2
Depends:	R (≥ 3.5.0)
Imports:	Directional, graphics, Rfast, latrend
Published:	2026-05-28
DOI:	10.32614/CRAN.package.CKNNRLD
Author:	Mohammad Sadegh Loeloe [aut, cre], Seyyed Mohammad Tabatabaei [aut], Reyhane Sefidkar [aut], Amir Houshang Mehrparvar [aut], Sara Jambarsang [aut, ths]
Maintainer:	Mohammad Sadegh Loeloe <mslbiostat at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Language:	en-US
CRAN checks:	CKNNRLD results

Documentation:

Reference manual:

CKNNRLD.html , CKNNRLD.pdf

Downloads:

Package source:	CKNNRLD_0.1.2.tar.gz
Windows binaries:	r-devel: CKNNRLD_0.1.2.zip, r-release: CKNNRLD_0.1.2.zip, r-oldrel: CKNNRLD_0.1.2.zip
macOS binaries:	r-release (arm64): CKNNRLD_0.1.2.tgz, r-oldrel (arm64): CKNNRLD_0.1.2.tgz, r-release (x86_64): CKNNRLD_0.1.2.tgz, r-oldrel (x86_64): CKNNRLD_0.1.2.tgz

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