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. .


Reference manual

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install.packages("CKNNRLD")

0.2.2 by Mohammad Sadegh Loeloe, 3 months ago


Browse source code at https://github.com/cran/CKNNRLD


Authors: Mohammad Sadegh Loeloe [aut, cre] , Seyyed Mohammad Tabatabaei [aut] , Reyhane Sefidkar [aut] , Amir Houshang Mehrparvar [aut] , Sara Jambarsang [aut, ths]


Documentation:   PDF Manual  


GPL-3 license


Imports Directional, graphics, grDevices, Rfast, stats

Suggests knitr, rmarkdown, testthat


See at CRAN