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: | 1.0.7 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-11-21 |
| DOI: | 10.32614/CRAN.package.devianLM |
| Author: | Guillaume Sauliere [aut], Geoffroy Berthelot [aut, cre], Jérôme Dedecker [aut] |
| Maintainer: | Geoffroy Berthelot <geoffroy.berthelot at insep.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenMP (optional, for parallel execution) |
| Materials: | NEWS |
| CRAN checks: | devianLM results |
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