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Inflongitudinal: Detecting Influential Subjects in Longitudinal Data

Provides methods for detecting influential subjects in longitudinal data, particularly when observations are collected at irregular time points. The package identifies subjects whose response trajectories deviate substantially from population-level patterns, helping to diagnose anomalies and undue influence on model estimates.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: ggplot2, dplyr, mice
Published: 2026-02-24
DOI: 10.32614/CRAN.package.Inflongitudinal
Author: Atanu Bhattacharjee [aut], Tanmoy Majumdar [aut, cre], Gajendra Kumar Vishwakarma [aut]
Maintainer: Tanmoy Majumdar <tanmoy.stat.ku at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: Inflongitudinal results

Documentation:

Reference manual: Inflongitudinal.html , Inflongitudinal.pdf

Downloads:

Package source: Inflongitudinal_0.1.0.tar.gz
Windows binaries: r-devel: Inflongitudinal_0.1.0.zip, r-release: Inflongitudinal_0.1.0.zip, r-oldrel: Inflongitudinal_0.1.0.zip
macOS binaries: r-release (arm64): Inflongitudinal_0.1.0.tgz, r-oldrel (arm64): Inflongitudinal_0.1.0.tgz, r-release (x86_64): Inflongitudinal_0.1.0.tgz, r-oldrel (x86_64): Inflongitudinal_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Inflongitudinal to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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