Robust Asymptotic Statistics
Base S4-classes and functions for robust asymptotic statistics.
| Package: | RobAStBase |
| Version: | 1.2.1 |
| Date: | 2019-04-07 |
| 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: | http://robast.r-forge.r-project.org/ |
| VCS/SVNRevision: | 1219 |
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.
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)
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