MP.pseudoinv

Function to compute a Moore-Penrose pseudoinverse
 of a symmetric matrix using eigen values decomposition.

internal

utilities

Contains, as a main contribution, a function to fit
a regression model with possibly right, left or interval
censored observations and with the error distribution
expressed as a mixture of G-splines. Core part
of the computation is done in compiled 'C++' written
using the 'Scythe' Statistical Library Version 0.3.

Arnošt Komárek

smoothSurv

Survival Regression with Smoothed Error Distribution

Kevin M. Quinn

Andrew D. Martin

Daniel B. Pemstein

Berwin A. Turlach

MP.pseudoinv function

<dl> <dt>x</dt>
<dd>A symmetric matrix (it is not checked).</dd> <dt>toler</dt>
<dd>Under the eigen values decomposition is computed, all
 eigen values smaller in absolute value than <code>toler</code>
 are assumed to be zero.</dd></dl>

Arguments

Arnošt Komárek <a href="/link/arnost.komarek%40mff.cuni.cz?package=smoothSurv&version=2.6" data-mini-rdoc="smoothSurv::arnost.komarek@mff.cuni.cz">arnost.komarek@mff.cuni.cz</a>

Author

Work Function for 'smoothSurvReg', currently nowhere used. — MP.pseudoinv

<dl>

 <dt>x</dt>
<dd>A symmetric matrix (it is not checked).</dd>

 <dt>toler</dt>
<dd>Under the eigen values decomposition is computed, all
 eigen values smaller in absolute value than <code>toler</code>
 are assumed to be zero.</dd>

</dl>

Arnošt Komárek <a href='mailto:arnost.komarek@mff.cuni.cz'>arnost.komarek@mff.cuni.cz</a>

MP.pseudoinv: Work Function for 'smoothSurvReg', currently nowhere used.

Description

Usage

Value

Arguments

Author