ddalpha: Depth-Based Classification and Calculation of Data Depth
Version 1.2.1

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.

Package details

AuthorOleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut]
Date of publication2016-10-10 01:48:09
MaintainerOleksii Pokotylo <alexey.pokotylo@gmail.com>
Package repositoryView on CRAN
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ddalpha documentation built on May 29, 2017, 11:55 a.m.