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This package was removed from CRAN on 2026-03-21. Its history is shown below.
Reason: issues were not corrected despite reminders
Details below reflect version 0.1.0, its last release before removal.

abnormality

0.1.0Package record

Measure a Subject's Abnormality with Respect to a Reference Population

0packages depend
1.4Kdownloads / year
–test coverage
–flavors OK

Overview

About

Contains the functions to implement the methodology and considerations laid out by Marks et al. in the manuscript Measuring Abnormality in High Dimensional Spaces: Applications in Biomechanical Gait Analysis. As of 2/27/2018 this paper has been submitted and is under scientific review. Using high-dimensional datasets to measure a subject’s overall level of abnormality as compared to a reference population is often needed in outcomes research. Utilizing applications in instrumented gait analysis, that article demonstrates how using data that is inherently non-independent to measure overall abnormality may bias results. A methodology is introduced to address this bias to accurately measure overall abnormality in high dimensional spaces. While this methodology is in line with previous literature, it differs in two major ways. Advantageously, it can be applied to datasets in which the number of observations is less than the number of features/variables, and it can be abstracted to practically any number of domains or dimensions. After applying the proposed methodology to the original data, the researcher is left with a set of uncorrelated variables (i.e. principal components) with which overall abnormality can be measured without bias. Different considerations are discussed in that article in deciding the appropriate number of principal components to keep and the aggregate distance measure to utilize.

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Health

CRAN checks

CRAN check results are not tracked yet.

Status changes
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 209 wordsVignettesNoNEWSYes · 0% structured · does not mention 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.4K
CRAN downloads in the past year
Rank #25,653 · ~4/day · ~118/mo
Daily download trend is not available in this view yet.
Also on73 r2u8 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
MASSMatrix
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Author, Maintainer since 0.1.0 (2018)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2026-03-21
    issues were not corrected despite reminders
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.0
    2018-03-13
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-03-13
Total releases
1 / 8 yrs
License
MIT + file LICENSE OSI
Download size
4.6 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("abnormality")
Marks, M. (n.d.). abnormality: Measure a Subject's Abnormality with Respect to a Reference Population (Version 0.1.0) [Computer software]. Retrieved October 23, 2026, from https://CRAN.R-project.org/package=abnormality

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 abnormality 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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