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ILRCM  

Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering
View on CRAN: Click here


Download and install ILRCM package within the R console
Install from CRAN:
install.packages("ILRCM")

Install from Github:
library("remotes")
install_github("cran/ILRCM")

Install by package version:
library("remotes")
install_version("ILRCM", "0.1.0")



Attach the package and use:
library("ILRCM")
Maintained by
Atanu Bhattacharjee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-02
Latest Update: 2024-12-02
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.
How to cite:
Atanu Bhattacharjee (2024). ILRCM: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering. R package version 0.1.0, https://cran.r-project.org/web/packages/ILRCM. Accessed 21 Dec. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for ILRCM
Functions, R codes and Examples using the ILRCM R package
Full ILRCM package functions and examples
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