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 (may not be active yet) |
| 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 |
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