Package: ILRCM Type: Package Title: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering Version: 0.2.0 Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Tanmoy"), " Majumdar", role=c("aut","ctb")), person(("Gajendra"), " Kumar Vishwakarma", role=c("aut","ctb")) ) Maintainer: Atanu Bhattacharjee Description: 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. Imports: ggplot2, scales, rlang, dplyr License: GPL-3 Encoding: UTF-8 LazyData: true Depends: R (>= 3.5.0) RoxygenNote: 7.3.2 NeedsCompilation: no Packaged: 2026-06-22 08:51:07 UTC; root Author: Atanu Bhattacharjee [aut, cre, ctb], Tanmoy Majumdar [aut, ctb], Gajendra Kumar Vishwakarma [aut, ctb] Repository: https://atanubhattacharjee.r-universe.dev Date/Publication: 2025-07-27 21:00:08 UTC RemoteUrl: https://github.com/cran/ILRCM RemoteRef: HEAD RemoteSha: 5ae24b3944cb30b4ff34dbee7eaac960a08fd003