ILRCM: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering
Atanu Bhattacharjee, Tanmoy Majumdar, Gajendra Kumar Vishwakarma · 2024
Convert irregularly spaced longitudinal data into regular intervals for further analysis, and perform clustering using advanced machine learning techniques. The package is designed for handling complex longitudinal datasets, optimizing them for research in healthcare, demography, and other fields requiring temporal data modeling.