Package: ILRCM 0.1.0

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.

Authors:Atanu Bhattacharjee [aut, cre, ctb], Tanmoy Majumdar [aut, ctb]

ILRCM_0.1.0.tar.gz
ILRCM_0.1.0.zip(r-4.5)ILRCM_0.1.0.zip(r-4.4)ILRCM_0.1.0.zip(r-4.3)
ILRCM_0.1.0.tgz(r-4.5-any)ILRCM_0.1.0.tgz(r-4.4-any)ILRCM_0.1.0.tgz(r-4.3-any)
ILRCM_0.1.0.tar.gz(r-4.5-noble)ILRCM_0.1.0.tar.gz(r-4.4-noble)
ILRCM_0.1.0.tgz(r-4.4-emscripten)ILRCM_0.1.0.tgz(r-4.3-emscripten)
ILRCM.pdf |ILRCM.html✨
ILRCM/json (API)

# Install 'ILRCM' in R:
install.packages('ILRCM', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • sdata - Simulated Irregular Longitudinal Data
  • smocc - SMOCC Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 165 downloads 3 exports 28 dependencies

Last updated 2 months agofrom:05c2c1d0fe. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-winOKFeb 01 2025
R-4.5-macOKFeb 01 2025
R-4.5-linuxOKFeb 01 2025
R-4.4-winOKFeb 01 2025
R-4.4-macOKFeb 01 2025
R-4.3-winOKFeb 01 2025
R-4.3-macOKFeb 01 2025

Exports:irregclstirregclst1irregclst2

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr