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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.
Getting started
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Package details |
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| Author | Atanu Bhattacharjee [aut, cre, ctb], Tanmoy Majumdar [aut, ctb], Gajendra Kumar Vishwakarma [aut, ctb] |
| Maintainer | Atanu Bhattacharjee <atanustat@gmail.com> |
| License | GPL-3 |
| Version | 0.2.0 |
| Package repository | View on CRAN |
| Installation |
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