High-Performance Open-Source Archive
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 |
| Reference manual: | Inflongitudinal.html , Inflongitudinal.pdf |
| 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 |
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