LastChangedDate: {$LastChangedDate: 2019-04-05 07:33:12 +0200 (Fr, 05.

LastChangedDate: {$LastChangedDate: 2019-04-07 12:38:45 +0200 (So, 07.

LastChangedDate: {$LastChangedDate: 2022-11-16 19:46:10 +0100 (Mi, 16.

Title: Optimally robust estimation - old version
Description: Optimally robust estimation using S4 classes and methods. Old version still needed for current versions of ROptRegTS and RobRex.
Packaged: Sat Feb 28 00:55:31 2009; btms02

Description: Optimally robust estimation using S4 classes and methods.
Old version still needed for current versions of ROptRegTS and
LastChangedDate: {$LastChangedDate: 2009-09-04 04:34:05 +0200 (Fr, 04.

LastChangedDate: {$LastChangedDate: 2010-12-03 12:13:24 +0100 (Fri, 03

Description: Optimally robust estimation using S4 classes and methods. Old version still needed
for current versions of ROptRegTS and RobRex.

LastChangedDate: {$LastChangedDate: 2013-02-07 20:45:29 +0100 (Do, 07

Title: Optimally Robust Estimation - Old Version
Authors@R: person("Matthias", "Kohl", role=c("aut", "cre", "cph"),
LastChangedDate: {$LastChangedDate: 2018-08-03 19:17:39 +0200 (Fr, 03.

Description: Optimally robust estimation using S4 classes and methods. Old version still
needed for current versions of ROptRegTS and RobRex.
LastChangedDate: {$LastChangedDate: 2019-04-02 21:10:23 +0200 (Di, 02.

Title: Optimally robust estimation for regression-type models
Description: Optimally robust estimation for regression-type
Packaged: Mon Aug  6 08:09:59 2007; kohl

Description: Optimally robust estimation for regression-type models
Author: Matthias Kohl <Matthias.Kohl@stamats.de>, Peter Ruckdeschel
Packaged: Sat Feb 28 00:57:32 2009; btms02

LastChangedDate: {$LastChangedDate: 2009-10-16 19:33:10 +0200 (Fr, 16.

Description: Optimally robust estimation for regression-type models using S4 classes and
Imports: methods, RandVar(>= 0.9.2), distr(>= 2.5.2), distrEx(>= 2.4)
LastChangedDate: {$LastChangedDate: 2013-09-14 14:15:52 +0200 (Sa, 14.

LastChangedDate: {$LastChangedDate: 2013-03-22 18:02:19 +0100 (Fr, 22.