GMD: Generalized Matrix Decomposition
In pknight24/KPR: Kernel-penalized regression
GMD R Documentation
Generalized Matrix Decomposition
Description
Computes the generalized matrix decomposition of a matrix X with respect to H and Q.
Usage
GMD(X, H, Q, K, fastGMD = TRUE)
Arguments
X
An n x p data matrix.
H
An n x n sample-wise similarity kernel.
Q
A p x p variable-wise similarity kernel.
K
The number of GMD components to include in the decomposition.
fastGMD
Logical, indicates whether to use the fastGMD implementation. This requires that H and Q are both positive definite.
Value
A list of matrices involved in the decomposition.
References
Wang et al. Technical report.
pknight24/KPR documentation built on Aug. 5, 2023, 7:01 a.m.
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| GMD | R Documentation |
Generalized Matrix Decomposition
Description
Computes the generalized matrix decomposition of a matrix X with respect to H and Q.
Usage
GMD(X, H, Q, K, fastGMD = TRUE)
Arguments
X |
An n x p data matrix. |
H |
An n x n sample-wise similarity kernel. |
Q |
A p x p variable-wise similarity kernel. |
K |
The number of GMD components to include in the decomposition. |
fastGMD |
Logical, indicates whether to use the fastGMD implementation. This requires that H and Q are both positive definite. |
Value
A list of matrices involved in the decomposition.
References
Wang et al. Technical report.
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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