Data sets are often corrupted by outliers. When data are multivariate outliers can be classified as case-wise or cell-wise. The latters are particularly challenge to handle. We implement a robust estimation procedure for Seemingly Unrelated Regression Models which is able to cope well with both type of outliers. Giovanni Saraceno, Fatemah Alqallaf, Claudio Agostinelli (2021) <doi:10.48550/arXiv.2107.00975>.
Version: | 0.0-8 |
Depends: | R (≥ 3.0.0), robustbase, robreg3S |
Imports: | Matrix, GSE |
Suggests: | systemfit |
Published: | 2025-06-28 |
DOI: | 10.32614/CRAN.package.robustsur |
Author: | Claudio Agostinelli
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Maintainer: | Claudio Agostinelli <claudio.agostinelli at unitn.it> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | robustsur results |
Reference manual: | robustsur.pdf |
Package source: | robustsur_0.0-8.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Old sources: | robustsur archive |
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