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)ILRCM_0.2.0.zip(r-4.6)ILRCM_0.2.0.zip(r-4.5)
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✨
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 194 downloads 5 exports 25 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK159
linux-release-x86_64OK126
macos-release-arm64OK84
macos-oldrel-arm64OK101
windows-develOK95
windows-releaseOK99
windows-oldrelOK101
wasm-releaseOK100

Exports:dropploterrintlenirrlrrr

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr