new_shapley_algorithm {ShapleyOutlier} | R Documentation |
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.
[Package
ShapleyOutlier version 0.1.2
Index]