Package: devianLM 1.1.0
Geoffroy Berthelot
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>.
Authors:
devianLM_1.1.0.tar.gz
devianLM_1.1.0.tar.gz(r-4.7-arm64)devianLM_1.1.0.tar.gz(r-4.7-x86_64)devianLM_1.1.0.tar.gz(r-4.6-arm64)devianLM_1.1.0.tar.gz(r-4.6-x86_64)
devianLM_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
devianLM/json (API)
| # Install 'devianLM' in R: |
| install.packages('devianLM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- salary - Salary dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:15c9bc0bc5. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 117 | ||
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 350 | ||
| linux-release-arm64 | OK | 120 | ||
| linux-release-x86_64 | OK | 123 | ||
| wasm-release | OK | 114 |
Exports:devianlm_statsget_devianlm_threshold
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| devianLM: Outlier detection via studentized residuals | devianLM-package devianLM |
| Identify outliers using devianLM method | devianlm_stats |
| Estimate threshold value via Monte-Carlo simulations. | get_devianlm_threshold |
| Salary dataset | salary |