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ILRCM (version 0.2.0)

Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering

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.

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Version

Install

install.packages('ILRCM')

Monthly Downloads

239

Version

0.2.0

License

GPL-3

Maintainer

Atanu Bhattacharjee

Last Published

July 27th, 2025

Functions in ILRCM (0.2.0)

intlen

Preferred Interval Length for Regularizing Irregular Longitudinal Data
lrrr

Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering using Linear Regression model for replacing Repeated Responses (LRRS) method
irr

Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering using Including Repeated Responses (IRR) method
dropplot

Dropout Curve and Observation Distribution for Irregular Longitudinal Data
smocc

SMOCC Data
sdata

Simulated Irregular Longitudinal Data
err

Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering using Excluding Repeated Responses (ERR) method