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). 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.

Total

257,795

Last month

39,716

Last week

10,860

Average per day

1,324

Daily downloads

Total downloads

Description file content

Package
ddalpha
Type
Package
Title
Depth-Based Classification and Calculation of Data Depth
Version
1.3.1
Date
2017-09-27
SystemRequirements
C++11
Depends
stats, utils, graphics, grDevices, MASS, class, robustbase, sfsmisc
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
2017-09-27 18:51:34 UTC; User
Author
Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer
Oleksii Pokotylo
Repository
CRAN
Date/Publication
2017-09-27 20:30:35 UTC

install.packages('ddalpha')

1.3.1

3 months ago

Oleksii Pokotylo

GPL-2

Depends on

stats, utils, graphics, grDevices, MASS, class, robustbase, sfsmisc

Imports

Rcpp (>= 0.11.0)

Discussions