Package: ILRCM 0.2.0

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], Gajendra Kumar Vishwakarma [aut, ctb]

ILRCM_0.2.0.tar.gz
ILRCM_0.2.0.zip(r-4.7-any)ILRCM_0.2.0.zip(r-4.6-any)ILRCM_0.2.0.zip(r-4.5-any)
ILRCM_0.2.0.tgz(r-4.6-any)ILRCM_0.2.0.tgz(r-4.5-any)
ILRCM_0.2.0.tar.gz(r-4.7-any)ILRCM_0.2.0.tar.gz(r-4.6-any)
ILRCM_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ILRCM/json (API)

# Install 'ILRCM' in R:
install.packages('ILRCM', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • sdata - Simulated Irregular Longitudinal Data
  • smocc - SMOCC Data

On CRAN:

Conda:

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

1.00 score 270 downloads 5 exports 25 dependencies

Last updated from:5ae24b3944. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK113
source / vignettesOK158
linux-releaseOK106
macos-releaseOK121
macos-oldrelOK107
windows-develOK74
windows-releaseOK95
windows-oldrelOK89
wasm-releaseOK74

Exports:dropploterrintlenirrlrrr

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr