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RobLox: Optimally Robust Influence Curves and Estimators for Location and Scale

Functions for the determination of optimally robust influence curves and estimators in case of normal location and/or scale (see Chapter 8 in Kohl (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).

Version: 1.2.1
Depends: R (≥ 3.4), stats, distrMod (≥ 2.8.0), RobAStBase (≥ 1.2.0)
Imports: methods, lattice, RColorBrewer, Biobase, RandVar (≥ 1.2.0), distr (≥ 2.8.0)
Suggests: MASS
Published: 2024-02-10
DOI: 10.32614/CRAN.package.RobLox
Author: Matthias Kohl [cre, cph], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl at stamats.de>
License: LGPL-3
URL: http://robast.r-forge.r-project.org/
NeedsCompilation: no
Citation: RobLox citation info
Materials: NEWS
In views: Robust
CRAN checks: RobLox results

Documentation:

Reference manual: RobLox.pdf

Downloads:

Package source: RobLox_1.2.1.tar.gz
Windows binaries: r-devel: RobLox_1.2.1.zip, r-release: RobLox_1.2.1.zip, r-oldrel: RobLox_1.2.1.zip
macOS binaries: r-release (arm64): RobLox_1.2.1.tgz, r-oldrel (arm64): RobLox_1.2.1.tgz, r-release (x86_64): RobLox_1.2.1.tgz, r-oldrel (x86_64): RobLox_1.2.1.tgz
Old sources: RobLox archive

Reverse dependencies:

Reverse imports: RobLoxBioC
Reverse suggests: ROptEst

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RobLox to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.