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Inflongitudinal  

Detecting Influential Subjects in Longitudinal Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("Inflongitudinal")
Maintained by
Tanmoy Majumdar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-24
Latest Update: 2026-02-24
Description:
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.
How to cite:
Tanmoy Majumdar (2026). Inflongitudinal: Detecting Influential Subjects in Longitudinal Data. R package version 0.1.0, https://cran.r-project.org/web/packages/Inflongitudinal. Accessed 26 Aug. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for Inflongitudinal
Functions, R codes and Examples using the Inflongitudinal R package
Full Inflongitudinal package functions and examples
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