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abnormality  

Measure a Subject's Abnormality with Respect to a Reference Population
View on CRAN: Click here


Download and install abnormality package within the R console
Install from CRAN:
install.packages("abnormality")

Install from Github:
library("remotes")
install_github("cran/abnormality")

Install by package version:
library("remotes")
install_version("abnormality", "0.1.0")



Attach the package and use:
library("abnormality")
Maintained by
Michael Marks
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-13
Latest Update: 2018-03-13
Description:
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
How to cite:
Michael Marks (2018). abnormality: Measure a Subject's Abnormality with Respect to a Reference Population. R package version 0.1.0, https://cran.r-project.org/web/packages/abnormality. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 0.1.0 (2018-03-13 18:42)
Other packages that cited abnormality R package
View abnormality citation profile
Other R packages that abnormality depends, imports, suggests or enhances
Complete documentation for abnormality
Functions, R codes and Examples using the abnormality R package
Some associated functions: generate_correlated_matrix . overall_abnormality . 
Some associated R codes: abnormality.R . generate_simulated_data.R . utils.R .  Full abnormality package functions and examples
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