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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.7 |
rolling linux/noble R-4.5 | devianLM_1.0.7.tar.gz |
92.7 KiB |
1.0.7 |
rolling source/ R- | devianLM_1.0.7.tar.gz |
16.0 KiB |
1.0.7 |
rolling linux/jammy R-4.5 | devianLM_1.0.7.tar.gz |
91.6 KiB |
1.0.7 |
latest linux/jammy R-4.5 | devianLM_1.0.7.tar.gz |
91.6 KiB |
1.0.7 |
latest linux/noble R-4.5 | devianLM_1.0.7.tar.gz |
92.7 KiB |
1.0.7 |
latest source/ R- | devianLM_1.0.7.tar.gz |
16.0 KiB |
1.0.7 |
2026-04-26 source/ R- | devianLM_1.0.7.tar.gz |
16.0 KiB |
1.0.7 |
2026-04-23 source/ R- | devianLM_1.0.7.tar.gz |
16.0 KiB |
1.0.7 |
2026-04-09 windows/windows R-4.5 | devianLM_1.0.7.zip |
501.5 KiB |