MP.pseudoinv: Work Function for 'smoothSurvReg', currently nowhere used.
In smoothSurv: Survival Regression with Smoothed Error Distribution
View source: R/smoothSurvReg.fit.R
MP.pseudoinv R Documentation
Work Function for 'smoothSurvReg', currently nowhere used.
Description
Function to compute a Moore-Penrose pseudoinverse
of a symmetric matrix using eigen values decomposition.
Usage
MP.pseudoinv(x, toler = 1e-7)
Arguments
x
A symmetric matrix (it is not checked).
toler
Under the eigen values decomposition is computed, all
eigen values smaller in absolute value than toler
are assumed to be zero.
Value
A matrix with the Moore-Penrose pseudoinverse of x.
Note
WARNING: This function was primarily used inside smoothSurvReg.
Consequently, it has very few error checks on its input arguments.
Author(s)
Arnošt Komárek arnost.komarek@mff.cuni.cz
smoothSurv documentation built on Oct. 11, 2022, 1:05 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/smoothSurvReg.fit.R
| MP.pseudoinv | R Documentation |
Work Function for 'smoothSurvReg', currently nowhere used.
Description
Function to compute a Moore-Penrose pseudoinverse of a symmetric matrix using eigen values decomposition.
Usage
MP.pseudoinv(x, toler = 1e-7)
Arguments
x |
A symmetric matrix (it is not checked). |
toler |
Under the eigen values decomposition is computed, all
eigen values smaller in absolute value than |
Value
A matrix with the Moore-Penrose pseudoinverse of x.
Note
WARNING: This function was primarily used inside smoothSurvReg.
Consequently, it has very few error checks on its input arguments.
Author(s)
Arnošt Komárek arnost.komarek@mff.cuni.cz
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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