RobAStBase-package | R Documentation |
Base S4-classes and functions for robust asymptotic statistics.
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 |
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.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de,
Matthias Kohl Matthias.Kohl@stamats.de
Maintainer: Matthias Kohl matthias.kohl@stamats.de
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
distr-package
,
distrEx-package
,
distrMod-package
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.