hat_matrix_cpp: Computing single H matrix in AICc-function using the...
In shapr: Prediction Explanation with Dependence-Aware Shapley Values
hat_matrix_cpp R Documentation
Computing single H matrix in AICc-function using the Mahalanobis distance
Description
Computing single H matrix in AICc-function using the Mahalanobis distance
Usage
hat_matrix_cpp(X, mcov, S_scale_dist, h)
Arguments
X
matrix.
mcov
matrix
The covariance matrix of X.
S_scale_dist
logical.
Indicating whether the Mahalanobis distance should be scaled with the number of variables
h
numeric specifying the scaling (sigma)
Value
Matrix of dimension ncol(X)*ncol(X)
Author(s)
Martin Jullum
shapr documentation built on April 4, 2025, 12:18 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| hat_matrix_cpp | R Documentation |
Computing single H matrix in AICc-function using the Mahalanobis distance
Description
Computing single H matrix in AICc-function using the Mahalanobis distance
Usage
hat_matrix_cpp(X, mcov, S_scale_dist, h)
Arguments
X |
matrix. |
mcov |
matrix The covariance matrix of X. |
S_scale_dist |
logical. Indicating whether the Mahalanobis distance should be scaled with the number of variables |
h |
numeric specifying the scaling (sigma) |
Value
Matrix of dimension ncol(X)*ncol(X)
Author(s)
Martin Jullum
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.