Detecting Influential Subjects in Longitudinal Data R package Inflongitudinal version 0.1.0 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. Software Depends: R (>= 4.1.0) Imports: ggplot2, dplyr, mice Tanmoy Majumdar <tanmoy.stat.ku@gmail.com> Comprehensive R Archive Network (CRAN) Atanu Bhattacharjee [aut], Tanmoy Majumdar [aut, cre], Gajendra Kumar Vishwakarma [aut] GPL-3 2026-02-24 application/tgz https://CRAN.R-project.org/package=Inflongitudinal doi:10.32614/CRAN.package.Inflongitudinal