Showing 4 of total 4 results (show query)
r-forge
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>).
Maintained by Matthias Kohl. Last updated 2 months ago.
4.50 score 70 scripts 1 dependentsr-forge
ROptEst:Optimally Robust Estimation
R infrastructure for optimally robust estimation in general smoothly parameterized models using S4 classes and methods as described 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>.
Maintained by Matthias Kohl. Last updated 2 months ago.
4.26 score 50 scripts 1 dependentsr-forge
RobLoxBioC:Infinitesimally Robust Estimators for Preprocessing -Omics Data
Functions for the determination of optimally robust influence curves and estimators for preprocessing omics data, in particular gene expression data (Kohl and Deigner (2010), <doi:10.1186/1471-2105-11-583>).
Maintained by Matthias Kohl. Last updated 2 months ago.
4.03 score 30 scriptsr-forge
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}.
Maintained by Peter Ruckdeschel. Last updated 2 months ago.
3.67 score 39 scripts