new_shapley_algorithm {ShapleyOutlier}

Class constructor for class shapley_algorithm.

Description

This function creates an object of class shapley_algorithm that is returned by the SCD and MOE functions.

Usage

new_shapley_algorithm(
  x = numeric(),
  phi = numeric(),
  x_original = numeric(),
  mu_tilde = NULL,
  non_centrality = NULL,
  x_history = NULL,
  phi_history = NULL,
  mu_tilde_history = NULL,
  S_history = NULL
)

Arguments

x

A p-dimensional vector (or a n \times p matrix) containing the imputed data.

phi

A p-dimensional vector (or a n \times p matrix) containing the Shapley values (outlyingness-scores) of a p-dimensional data vector (or a n \times p data matrix).

x_original

A p-dimensional vector (or a n \times p matrix) containing the original data.

mu_tilde

Optional. A p-dimensional vector (or a n \times p matrix) containing the alternative reference points based on the regular cells of the original observations.

non_centrality

Optional. The non-centrality parameters for the Chi-Squared distribution, which are given by mahlanobis(mu_tilde, mu, Sigma).

x_history

Optional. A list with n elements, each containing the path of how the original data vector was modified.

phi_history

Optional. A list with n elements, each containing the Shapley values corresponding to x_history.

mu_tilde_history

Optional. A list with n elements, each containing the alternative reference points corresponding to x_history.

S_history

Optional. A list with n elements, each containing the indices of the outlying cells in each iteration.

Value

Named list of class shapley_algorithm, containing the input parameters.