R: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances

# Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances

## Documentation for package ‘ShapleyOutlier’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

MOE | Detecting cellwise outliers using Shapley values based on local outlyingness.
new_shapley | Class constructor for class 'shapley'.
new_shapley_algorithm | Class constructor for class 'shapley_algorithm'.
new_shapley_interaction | Class constructor for class 'shapley_interaction'.
plot.shapley | Barplot of Shapley values
plot.shapley_algorithm | Barplot and tileplot of Shapley values.
plot.shapley_interaction | Plot of Shapley interaction indices
print.shapley | Print function for class 'shapley'.
print.shapley_algorithm | Print function for class 'shapley_algorithm'.
print.shapley_interaction | Print function for class 'shapley_interaction'.
SCD | Detecting cellwise outliers using Shapley values.
shapley | Decomposition of squared Mahalanobis distance using Shapley values.
shapley_interaction | Decomposition of squared Mahalanobis distance using Shapley interaction indices.
WeatherVienna | Weather data from Vienna