ROptEst: Optimally Robust Estimation

R infrastructure for optimally robust estimation in general smoothly parameterized models using S4 classes and methods as decribed Kohl, M., Ruckdeschel, P., and Rieder, H. (2010), <doi:10.1007/s10260-010-0133-0>, and in Rieder, H., Kohl, M., and Ruckdeschel, P. (2008), <doi:10.1007/s10260-007-0047-7>.

Version: 1.3.3
Depends: R (≥ 3.4), methods, distr (≥ 2.8.0), distrEx (≥ 2.8.0), distrMod (≥ 2.8.1), RandVar (≥ 1.2.0), RobAStBase (≥ 1.2.0)
Imports: startupmsg, MASS, stats, graphics, utils, grDevices
Suggests: RobLox
Published: 2024-02-07
Author: Matthias Kohl ORCID iD [cre, cph], Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic plots), Gerald Kroisandt [ctb] (contributed testing routines), Peter Ruckdeschel ORCID iD [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl at stamats.de>
License: LGPL-3
URL: http://robast.r-forge.r-project.org/
NeedsCompilation: no
Citation: ROptEst citation info
Materials: NEWS
In views: Robust
CRAN checks: ROptEst results

Documentation:

Reference manual: ROptEst.pdf

Downloads:

Package source: ROptEst_1.3.3.tar.gz
Windows binaries: r-devel: ROptEst_1.3.3.zip, r-release: ROptEst_1.3.3.zip, r-oldrel: ROptEst_1.3.3.zip
macOS binaries: r-release (arm64): ROptEst_1.3.3.tgz, r-oldrel (arm64): ROptEst_1.3.3.tgz, r-release (x86_64): ROptEst_1.3.3.tgz
Old sources: ROptEst archive

Reverse dependencies:

Reverse depends: RobExtremes
Reverse suggests: distr, RobAStBase

Linking:

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