ILRCM: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering

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: 0.1.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, scales
Published: 2024-12-02
DOI: 10.32614/CRAN.package.ILRCM
Author: Atanu Bhattacharjee [aut, cre, ctb], Tanmoy Majumdar [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: ILRCM results

Documentation:

Reference manual: ILRCM.pdf

Downloads:

Package source: ILRCM_0.1.0.tar.gz
Windows binaries: r-devel: ILRCM_0.1.0.zip, r-release: ILRCM_0.1.0.zip, r-oldrel: ILRCM_0.1.0.zip
macOS binaries: r-release (arm64): ILRCM_0.1.0.tgz, r-oldrel (arm64): ILRCM_0.1.0.tgz, r-release (x86_64): ILRCM_0.1.0.tgz, r-oldrel (x86_64): ILRCM_0.1.0.tgz

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