checkSingularitySVD: Internal function: Check singularity of SVDed matrix
In WALS: Weighted-Average Least Squares Model Averaging
checkSingularitySVD R Documentation
Internal function: Check singularity of SVDed matrix
Description
Checks whether matrix is singular based on singular values of SVD.
Usage
checkSingularitySVD(singularValues, tol, rtol, digits = 5)
Arguments
singularValues
Vector of singular values.
tol
Absolute tolerance, singular if min(singularValues) < tol
rtol
Relative tolerance, singular if
min(singularValues) / max(singularValues) < rtol
digits
The number significant digits to show in case a
warning is triggered by singularity.
WALS documentation built on June 22, 2024, 9:42 a.m.
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| checkSingularitySVD | R Documentation |
Internal function: Check singularity of SVDed matrix
Description
Checks whether matrix is singular based on singular values of SVD.
Usage
checkSingularitySVD(singularValues, tol, rtol, digits = 5)
Arguments
singularValues |
Vector of singular values. |
tol |
Absolute tolerance, singular if |
rtol |
Relative tolerance, singular if
|
digits |
The number significant digits to show in case a warning is triggered by singularity. |
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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