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RobExtremes

Optimally Robust Estimation for Extreme Value Distributions

Optimally robust estimation for extreme value distributions using S4 classes and methods (based on packages 'distr', 'distrEx', 'distrMod', 'RobAStBase', and 'ROptEst'); the underlying theoretic results can be found in Ruckdeschel and Horbenko, (2013 and 2012), \doi{10.1080/02331888.2011.628022} and \doi{10.1007/s00184-011-0366-4}.

Versions across snapshots

VersionRepositoryFileSize
1.3.2 rolling linux/jammy R-4.5 RobExtremes_1.3.2.tar.gz 1.2 MiB
1.3.2 rolling linux/noble R-4.5 RobExtremes_1.3.2.tar.gz 1.2 MiB
1.3.2 rolling source/ R- RobExtremes_1.3.2.tar.gz 112.6 KiB
1.3.2 latest linux/jammy R-4.5 RobExtremes_1.3.2.tar.gz 1.2 MiB
1.3.2 latest linux/noble R-4.5 RobExtremes_1.3.2.tar.gz 1.2 MiB
1.3.2 latest source/ R- RobExtremes_1.3.2.tar.gz 112.6 KiB
1.3.2 2026-04-26 source/ R- RobExtremes_1.3.2.tar.gz 112.6 KiB
1.3.2 2026-04-23 source/ R- RobExtremes_1.3.2.tar.gz 112.6 KiB
1.3.2 2026-04-09 windows/windows R-4.5 RobExtremes_1.3.2.zip 1.2 MiB
1.3.2 2025-04-20 source/ R- RobExtremes_1.3.2.tar.gz 112.6 KiB

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