getRiskFctBV

getRiskFctBV-methods

getRiskFctBV,asL1,ANY-method

getRiskFctBV,asL4,ANY-method

getRiskFctBV for a given object of S4 class <code>asGRisk</code>
 returns a function in bias and variance to compute the asymptotic
 risk.

classes

R infrastructure for optimally robust estimation in general smoothly
parameterized models using S4 classes and methods as described Kohl, M.,
Ruckdeschel, P., and Rieder, H. (2010), <doi:10.1007/s10260-010-0133-0>, and in
Rieder, H., Kohl, M., and Ruckdeschel, P. (2008), <doi:10.1007/s10260-007-0047-7>.

Matthias Kohl

ROptEst

Optimally Robust Estimation

Mykhailo Pupashenko

Gerald Kroisandt

Peter Ruckdeschel

getRiskFctBV-methods function

<dl>
<dt>getRiskFctBV</dt>
<dd><code>signature(risk = "asL1", biastype = "ANY")</code>:
 returns a function with arguments <code>bias</code> and <code>variance</code>
 to compute the asymptotic absolute (L1) error for a given ALE at a situation
 where it has bias <code>bias</code> (including the radius!) and variance <code>variance</code>.</dd><dt>getRiskFctBV</dt>
<dd><code>signature(risk = "asL4", biastype = "ANY")</code>:
 returns a function with arguments <code>bias</code> and <code>variance</code>
 to compute the asymptotic L4 error for a given ALE at a situation where
 it has bias <code>bias</code> (including the radius!) and variance <code>variance</code>.</dd>
</dl>

Methods

Methods for Function getRiskFctBV  in Package `ROptEst' — getRiskFctBV-methods

<dl>
<dt>getRiskFctBV</dt>
<dd><code>signature(risk = "asL1", biastype = "ANY")</code>:
 returns a function with arguments <code>bias</code> and <code>variance</code>
 to compute the asymptotic absolute (L1) error for a given ALE at a situation
 where it has bias <code>bias</code> (including the radius!) and variance <code>variance</code>.</dd>

<dt>getRiskFctBV</dt>
<dd><code>signature(risk = "asL4", biastype = "ANY")</code>:
 returns a function with arguments <code>bias</code> and <code>variance</code>
 to compute the asymptotic L4 error for a given ALE at a situation where
 it has bias <code>bias</code> (including the radius!) and variance <code>variance</code>.</dd>


</dl>

getRiskFctBV-methods: Methods for Function getRiskFctBV in Package `ROptEst'

Description

Arguments

Methods

Examples