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Paket: r-cran-ddalpha (1.3.1-1)

GNU R depth-based classification and calculation of data depth

Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.

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  • dep: libgcc1 (>= 1:3.0)
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  • dep: libstdc++6 (>= 5.2)
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  • dep: r-api-3.4
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  • dep: r-base-core (>= 3.4.2-2ubuntu1)
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  • dep: r-cran-mass
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  • dep: r-cran-robustbase
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  • dep: r-cran-sfsmisc
    GNU R utilities from 'Seminar fuer Statistik' ETH Zurich

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