ddalpha

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 <doi:10.1007/s00362-012-0488-4>). 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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Description file content

Package
ddalpha
Type
Package
Title
Depth-Based Classification and Calculation of Data Depth
Version
1.3.4
Date
2018-06-22
SystemRequirements
C++11
Depends
R (>= 2.10), stats, utils, graphics, grDevices, MASS, class, robustbase, sfsmisc, geometry
Imports
Rcpp (>= 0.11.0)
LinkingTo
BH, Rcpp
Description
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.
License
GPL-2
NeedsCompilation
yes
Packaged
2018-06-22 13:03:25 UTC; pavlo.mozharovskyi
Author
Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer
Oleksii Pokotylo
Repository
CRAN
Date/Publication
2018-06-23 16:08:17 UTC

install.packages('ddalpha')

1.3.4

3 months ago

Oleksii Pokotylo

GPL-2

Depends on

R (>= 2.10), stats, utils, graphics, grDevices, MASS, class, robustbase, sfsmisc, geometry

Imports

Rcpp (>= 0.11.0)

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