<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Convert Irregular Longitudinal Data to Regular Intervals and
Perform Clustering</dc:title>
  <dc:title>R package ILRCM version 0.2.0</dc:title>
  <dc: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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: ggplot2, scales, rlang, dplyr</dc:relation>
  <dc:creator>Atanu Bhattacharjee &lt;atanustat@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Atanu Bhattacharjee [aut, cre, ctb],
  Tanmoy Majumdar [aut, ctb],
  Gajendra Kumar Vishwakarma [aut, ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-07-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ILRCM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ILRCM</dc:identifier>
</oai_dc:dc>
