R: Robust Outliers Detection

# Robust Outliers Detection

## Documentation for package ‘Routliers’ version 0.0.0.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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
outliers_mad | MAD function to detect outliers
outliers_mahalanobis | mahalanobis function to detect outliers
outliers_mcd | MCD function to detect outliers
plot_outliers_mad | Plotting function for the mad
plot_outliers_mahalanobis | Plotting function for the Mahalanobis distance approach
plot_outliers_mcd | Plotting function for the MCD