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 | 
| 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.html , robustsur.pdf | 
| Package source: | robustsur_0.0-8.tar.gz | 
| Windows binaries: | r-devel: robustsur_0.0-8.zip, r-release: robustsur_0.0-8.zip, r-oldrel: robustsur_0.0-8.zip | 
| macOS binaries: | r-release (arm64): robustsur_0.0-8.tgz, r-oldrel (arm64): robustsur_0.0-8.tgz, r-release (x86_64): robustsur_0.0-8.tgz, r-oldrel (x86_64): robustsur_0.0-8.tgz | 
| Old sources: | robustsur archive | 
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