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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