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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | CKNNRLD_0.1.2.tar.gz |
42.9 KiB |
0.1.2 |
rolling linux/noble R-4.5 | CKNNRLD_0.1.2.tar.gz |
42.7 KiB |
0.1.2 |
rolling source/ R- | CKNNRLD_0.1.2.tar.gz |
7.4 KiB |
0.1.2 |
latest linux/jammy R-4.5 | CKNNRLD_0.1.2.tar.gz |
42.9 KiB |
0.1.2 |
latest linux/noble R-4.5 | CKNNRLD_0.1.2.tar.gz |
42.7 KiB |
0.1.2 |
latest source/ R- | CKNNRLD_0.1.2.tar.gz |
7.4 KiB |
0.1.2 |
2026-04-23 source/ R- | CKNNRLD_0.1.2.tar.gz |
0 B |