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devianLM (version 1.0.7)

Detecting Extremal Values in a Normal Linear Model

Description

Provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. For methodological details, see: Berthelot G., Saulière G., Dedecker J. (2025). "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model". HAL Id: hal-05230549. .

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Version

Install

install.packages('devianLM')

Monthly Downloads

121

Version

1.0.7

License

GPL-3

Maintainer

Geoffroy Berthelot

Last Published

November 21st, 2025

Functions in devianLM (1.0.7)

salary

Salary dataset
get_devianlm_threshold

get_devianlm_threshold : Compute threshold using Monte Carlo simulations
devianlm_stats

Identify outliers using devianLM method
devianLM-package

Detection of Poorly Explained Values in Gaussian Linear Models