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.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2,scales,rlang,dplyr |
| Published: | 2025-07-27 |
| DOI: | 10.32614/CRAN.package.ILRCM |
| Author: | Atanu Bhattacharjee [aut, cre, ctb], Tanmoy Majumdar [aut, ctb], Gajendra Kumar Vishwakarma [aut, ctb] |
| Maintainer: | Atanu Bhattacharjee <atanustat at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ILRCM results |
| Reference manual: | ILRCM.html ,ILRCM.pdf |
| Package source: | ILRCM_0.2.0.tar.gz |
| Windows binaries: | r-devel:ILRCM_0.2.0.zip, r-release:ILRCM_0.2.0.zip, r-oldrel:ILRCM_0.2.0.zip |
| macOS binaries: | r-release (arm64):ILRCM_0.2.0.tgz, r-oldrel (arm64):ILRCM_0.2.0.tgz, r-release (x86_64):ILRCM_0.2.0.tgz, r-oldrel (x86_64):ILRCM_0.2.0.tgz |
| Old sources: | ILRCM archive |
Please use the canonical formhttps://CRAN.R-project.org/package=ILRCMto link to this page.