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) <arXiv:2107.00975>.
|Author||Claudio Agostinelli [aut, cre] (<https://orcid.org/0000-0001-6702-4312>), Giovanni Saraceno [aut] (<https://orcid.org/0000-0002-1753-2367>)|
|Maintainer||Claudio Agostinelli <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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