| checkIC {RobAStBase} | R Documentation |
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 |
L2Fam |
L2-differentiable family of probability measures. |
out |
logical: Should the values of the checks be printed out? |
... |
additional parameters |
diagnostic |
logical; if |
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)
Matthias Kohl Matthias.Kohl@stamats.de
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)