https://mslbiostat.r-universe.devRecent package updates in mslbiostatR-universehttps://github.com/mslbiostat.pnghttps://mslbiostat.r-universe.devThu, 28 May 2026 18:40:02 GMTmslbiostat@gmail.com (Mohammad Sadegh Loeloe)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>.https://github.com/r-universe/mslbiostat/actions/runs/26625979310Thu, 28 May 2026 18:40:02 GMTCKNNRLD0.1.2successhttps://mslbiostat.r-universe.devhttps://github.com/cran/CKNNRLD