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:Olivier Klein [aut], Marie Delacre [aut, cre]

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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

Datasets:
  • 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

On CRAN:

Conda-Forge:

4.86 score 11 stars 66 scripts 264 downloads 2 mentions 6 exports 28 dependencies

Last updated 4 years agofrom:e4dac8814e. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winOKFeb 28 2025
R-4.5-macOKFeb 28 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKFeb 28 2025
R-4.4-macOKFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:outliers_madoutliers_mahalanobisoutliers_mcdplot_outliers_madplot_outliers_mahalanobisplot_outliers_mcd

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr