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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