Package: Routliers 0.0.0.3
Routliers: Robust Outliers Detection
Detecting outliers using robust methods, i.e. the Median Absolute Deviation (MAD) for univariate outliers; Leys, Ley, Klein, Bernard, & Licata (2013) <doi:10.1016/j.jesp.2013.03.013> and the Mahalanobis-Minimum Covariance Determinant (MMCD) for multivariate outliers; Leys, C., Klein, O., Dominicy, Y. & Ley, C. (2018) <doi:10.1016/j.jesp.2017.09.011>. There is also the more known but less robust Mahalanobis distance method, only for comparison purposes.
Authors:
Routliers_0.0.0.3.tar.gz
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Routliers.pdf |Routliers.html✨
Routliers/json (API)
NEWS
| # Install 'Routliers' in R: |
| install.packages('Routliers', repos = c('https://mdelacre.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mdelacre/routliers/issues
- Attacks - Data collected the day after the terrorist attacks in Brussels (on the morning of 22 March 2016) assessing the Sense of Coherence, anxiety and depression symptoms of 2077 subjects (1056 were in Brussels during the terrorist attacks, and 1021 were not).
- Intention - Study five of Rogers, T. & Milkman, K. L. (2016). Reminders through association. Psychological Science, 27, 973-986.
- Morality - Replication of Experiments Evaluating Impact of Psychological Distance on Moral Judgment (Eyal, Liberman & Trope, 2008; Gong & Medin, 2012) Study 2
Last updated 4 years agofrom:e4dac8814e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:outliers_madoutliers_mahalanobisoutliers_mcdplot_outliers_madplot_outliers_mahalanobisplot_outliers_mcd
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
