Robust Statistics
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These programs are provided free for non-commercial use only.
LIBRA: a MATLAB Library for Robust Analysis
Contains several robust methods, e.g.:
Robust regression and covariance estimation (LTS, MCD)
Robust PCA methods (RAPCA, ROBPCA)
Robust PCR method (RPCR)
Robust PLS method (RSIMPLS)
Robust classification (RDA, RSIMCA)
Clustering methods
Outlier detection and graphical methods (adjusted boxplot, bagplot)
Robust PARAFAC Algorithms
[ReadMe]
[MATLAB]
MEDCOUPLE (MC)
[S-PLUS and MATLAB]
Robust Measures of Tailweight
[ReadMe]
[MATLAB]
[S-PLUS]
[MATHEMATICA]
Adjusted Boxplot
[S-PLUS]
PROGRESS
[FORTRAN source file]
[Executable file]
ROBPCA
[S-PLUS]
Copyright © Katholieke Universiteit Leuven | comments:
mia.hubert@wis.kuleuven.be
Realisation:
Mia Hubert
| Latest update: February 29, 2008
URL: http://wis.kuleuven.be/stat/index.html
