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  "Title": "Cellwise Robust M-Regression and SPADIMO",
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  "Description": "Method for fitting a cellwise robust linear M-regression\nmodel (CRM, Filzmoser et al. (2020)\n<DOI:10.1016/j.csda.2020.106944>) that yields both a map of\ncellwise outliers consistent with the linear model, and a\nvector of regression coefficients that is robust against\nvertical outliers and leverage points. As a by-product, the\nmethod yields an imputed data set that contains estimates of\nwhat the values in cellwise outliers would need to amount to if\nthey had fit the model. The package also provides diagnostic\ntools for analyzing casewise and cellwise outliers using sparse\ndirections of maximal outlyingness (SPADIMO, Debruyne et al.\n(2019) <DOI:10.1007/s11222-018-9831-5>).",
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  "Author": "Peter Filzmoser [aut], Sebastiaan Hoppner [aut, cre], Irene\nOrtner [aut], Sven Serneels [aut], Tim Verdonck [aut]",
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        "crmReg"
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