getL2normL2deriv

aFinfo

cent

further arguments (not used at the moment)

Function to calculate the L2 norm of the L2derivative in a smooth parametric model.

robust

Optimally robust estimation in general smoothly parameterized models using S4
classes and methods.

Matthias Kohl

ROptEst

Optimally Robust Estimation

Mykhailo Pupashenko

Gerald Kroisandt

Peter Ruckdeschel

getL2normL2deriv function

<dl> <dt>aFinfo</dt>
<dd>trace of the Fisher information</dd> <dt>cent</dt>
<dd>centering</dd> <dt>...</dt>
<dd>further arguments (not used at the moment)</dd></dl>

Arguments

Peter Ruckdeschel <a href="/link/peter.ruckdeschel%40uni-oldenburg.de?package=ROptEst&version=1.2.1" data-mini-rdoc="ROptEst::peter.ruckdeschel@uni-oldenburg.de">peter.ruckdeschel@uni-oldenburg.de</a>

Author

Calculation of L2 norm of L2derivative — getL2normL2deriv

<dl>

 <dt>aFinfo</dt>
<dd>trace of the Fisher information</dd>

 <dt>cent</dt>
<dd>centering</dd>

 <dt>...</dt>
<dd>further arguments (not used at the moment)</dd>

</dl>

Peter Ruckdeschel <a href='mailto:peter.ruckdeschel@uni-oldenburg.de'>peter.ruckdeschel@uni-oldenburg.de</a>

getL2normL2deriv: Calculation of L2 norm of L2derivative

Description

Usage

Value

Arguments

Author

Examples