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Inflongitudinal (version 0.1.0)

Detecting Influential Subjects in Longitudinal Data

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.

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Version

Install

install.packages('Inflongitudinal')

Version

0.1.0

License

GPL-3

Maintainer

Tanmoy Majumdar

Last Published

February 24th, 2026

Functions in Inflongitudinal (0.1.0)

sld

Simple Longitudinal Difference (SLD)
Phenobarb

Phenobarb Dataset
rld

Relative Longitudinal Difference (RLD)
tvm.imputation

tvm.imputation: Impute Influential Responses in Longitudinal Data
tvm

Time-Varying Mean (TVM)
wlm

Weighted Longitudinal Mean (WLM)
slm

Simple Longitudinal Mean (SLM)
infsdata

Simulated Longitudinal Data