eigen_K: A function to take the eigendecomposition of K Note: This is...
In plmmr: Penalized Linear Mixed Models for Correlated Data
eigen_K R Documentation
A function to take the eigendecomposition of K
Note: This is faster than taking SVD of X when p >> n
Description
A function to take the eigendecomposition of K
Note: This is faster than taking SVD of X when p >> n
Usage
eigen_K(std_X, fbm_flag)
Arguments
std_X
The standardized design matrix, stored as big.matrix object.
fbm_flag
Logical: is std_X an FBM obejct? Passed from plmm().
Value
A list with the eigenvectors and eigenvalues of K
plmmr documentation built on April 4, 2025, 12:19 a.m.
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| eigen_K | R Documentation |
A function to take the eigendecomposition of K Note: This is faster than taking SVD of X when p >> n
Description
A function to take the eigendecomposition of K Note: This is faster than taking SVD of X when p >> n
Usage
eigen_K(std_X, fbm_flag)
Arguments
std_X |
The standardized design matrix, stored as big.matrix object. |
fbm_flag |
Logical: is std_X an FBM obejct? Passed from |
Value
A list with the eigenvectors and eigenvalues of K
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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