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checkIC

Generic Function for Checking ICs

Description

Generic function for checking centering and Fisher consistency of ICs.

Usage

checkIC(IC, L2Fam, ...)
## S4 method for signature 'IC,missing'
checkIC(IC, out = TRUE, ..., diagnostic = FALSE)
## S4 method for signature 'IC,L2ParamFamily'
checkIC(IC, L2Fam, out = TRUE,..., diagnostic = FALSE)

Arguments

IC

object of class "IC"

L2Fam

L2-differentiable family of probability measures.

out

logical: Should the values of the checks be printed out?
...

additional parameters

diagnostic

logical; if TRUE and out==TRUE, diagnostic information on the integration is printed; independent of out, if diagnostic==TRUE, this information is returned as attribute diagnostic of the return value. .

Details

The precisions of the centering and the Fisher consistency are computed.

Diagnostics on the involved integrations are available if argument diagnostic is TRUE. Then there is attribute diagnostic attached to the return value, which may be inspected and accessed through showDiagnostic and getDiagnostic.

Value

The maximum deviation from the IC properties is returned.

Author(s)

References

Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.

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

See Also

Examples

IC1 <- new("IC")
checkIC(IC1)
RobAStBase

Robust Asymptotic Statistics

v1.2.1
LGPL-3
Authors
Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph], Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic plots), Gerald Kroisandt [ctb] (contributed testing routines), R Core Team [ctb, cph] (for source file 'format.perc')
Initial release
2019-04-07

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