Pacote: r-cran-ddalpha (1.3.13-1)

[ Fonte: r-cran-ddalpha  ]

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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amd64	1,157.0 kB	1,425.0 kB	[lista de arquivos]
arm64	1,144.1 kB	1,397.0 kB	[lista de arquivos]
armel	1,140.5 kB	1,388.0 kB	[lista de arquivos]
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s390x	1,152.5 kB	1,449.0 kB	[lista de arquivos]