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Inflongitudinal

0.1.0Package record

Detecting Influential Subjects in Longitudinal Data

0packages depend
1.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.5K
CRAN downloads in the past year
Rank #23,710 · ~4/day · ~125/mo
Daily download trend is not available in this view yet.
22130 days
53790 days
1.5K1 year
Compare downloads with other packages →
Also on47 r2u6 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing Inflongitudinal adds 62 packages (34 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, lme4 4.1 MB.

Depends (1)
R >= 4.1.0
Imports (3)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-02-24 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-24
Total releases
1 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
766 KB / 2 files
Download size
754 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Inflongitudinal")
Majumdar, T., Bhattacharjee, A., & Kumar Vishwakarma, G. (2026). Inflongitudinal: Detecting Influential Subjects in Longitudinal Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.Inflongitudinal

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Inflongitudinal version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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