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 with "covariates"
mcov
covariance matrix
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 May 4, 2023, 5:10 p.m.
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| 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 with "covariates" |
mcov |
covariance matrix |
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.
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