Detecting Extremal Values in a Normal Linear Model R package devianLM version 1.1.0 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>. Software Depends: R (>= 2.10) Imports: Rcpp LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Geoffroy Berthelot <geoffroy.berthelot@insep.fr> Comprehensive R Archive Network (CRAN) Guillaume Sauliere [aut] (ORCID: <https://orcid.org/0000-0001-8263-6456>), Geoffroy Berthelot [aut, cre] (ORCID: <https://orcid.org/0000-0003-4036-6114>), Jérôme Dedecker [aut] (ORCID: <https://orcid.org/0000-0002-8838-0356>) GPL-3 2026-04-30 application/tgz https://CRAN.R-project.org/package=devianLM doi:10.32614/CRAN.package.devianLM