Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

existsPIC

Methods for Function existsPIC in Package ‘distrMod’


Description

existsPIC-methods to check whether in a given L2 differentiable model at parameter value theta there exist (partial) influence curves to Trafo D_theta.

Usage

existsPIC(object, ...)
## S4 method for signature 'L2ParamFamily'
existsPIC(object, warning = TRUE, tol = .Machine$double.eps^.5)

Arguments

object

L2ParamFamily

...

further arguments used by specific methods.

warning

logical: should a warning be issued if there exist no (partial) influence curves?

tol

the tolerance the linear algebraic operations. Default is .Machine$double.eps^.5.

Details

To check the existence of (partial) influence curves and, simultaneously, for bounded (partial) influence curves, by Lemma 1.1.3 in Kohl(2005) [resp. the fact that ker I = ker J for J= E (Lambda',1)' (Lambda',1) w and w=min(1, b/|(Lambda',1)|)], it suffices to check that ker I is a subset of ker D_theta. This is done by a call to isKerAinKerB.

Author(s)

References

Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.

See Also


distrMod

Object Oriented Implementation of Probability Models

v2.8.4
LGPL-3
Authors
Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph] (for source file 'format.perc')
Initial release
2020-03-06

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.