RobAStBase (version 1.2.6)

RobAStBase-package: Robust Asymptotic Statistics

Description

Base S4-classes and functions for robust asymptotic statistics.

Author

Peter Ruckdeschel ,
Matthias Kohl
Maintainer: Matthias Kohl

Package versions

Note: The first two numbers of package versions do not necessarily reflect package-individual development, but rather are chosen for the RobAStXXX family as a whole in order to ease updating "depends" information.

Details

Package:	RobAStBase
Version:	1.2.6
Date:	2024-08-29
Depends:	R(>= 3.4), methods, rrcov, distr(>= 2.8.0), distrEx(>= 2.8.0), distrMod(>= 2.8.1),RandVar(>= 1.2.0)
Suggests:	ROptEst(>= 1.2.0), RUnit(>= 0.4.26)
Imports:	startupmsg, graphics, grDevices, stats
ByteCompile:	yes
Encoding:	latin1
License:	LGPL-3
URL:	https://r-forge.r-project.org/projects/robast/
VCS/SVNRevision:	1305

References

M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness. Dissertation. University of Bayreuth. See also https://www.stamats.de/wp-content/uploads/2018/04/ThesisMKohl.pdf

See Also

distr-package, distrEx-package, distrMod-package

Examples

library(RobAStBase)
## some L2 differentiable parametric family from package distrMod, e.g.
B <- BinomFamily(size = 25, prob = 0.25) 
## classical optimal IC
IC0 <- optIC(model = B, risk = asCov())
plot(IC0) # plot IC
checkIC(IC0, B)