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rrcovHD: Robust Multivariate Methods for High Dimensional Data
Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>), and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).
Getting started
Browse package contents
Package details |
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| Author | Valentin Todorov [aut, cre] (<https://orcid.org/0000-0003-4215-0245>) |
| Maintainer | Valentin Todorov <valentin.todorov@chello.at> |
| License | GPL (>= 2) |
| Version | 0.2-7 |
| Package repository | View on CRAN |
| Installation |
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