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
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>.
| Version: |
0.1.4 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Directional, graphics, Rfast |
| Published: |
2026-06-09 |
| 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:
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