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devianLM: Detecting Extremal Values in a Normal Linear Model

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. <https://hal.science/hal-05230549>.

Version: 1.0.3
Depends: R (≥ 2.10)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2025-09-24
DOI: 10.32614/CRAN.package.devianLM
Author: Guillaume Sauliere ORCID iD [aut, cre], Geoffroy Berthelot [aut], Jérôme Dedecker [aut]
Maintainer: Guillaume Sauliere <guillaumesauliere at hotmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: OpenMP
Materials: NEWS
CRAN checks: devianLM results [issues need fixing before 2025-10-08]

Documentation:

Reference manual: devianLM.html , devianLM.pdf

Downloads:

Package source: devianLM_1.0.3.tar.gz
Windows binaries: r-devel: devianLM_1.0.3.zip, r-release: devianLM_1.0.3.zip, r-oldrel: devianLM_1.0.3.zip
macOS binaries: r-release (arm64): devianLM_1.0.3.tgz, r-oldrel (arm64): devianLM_1.0.3.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=devianLM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.