ddalpha (version 1.3.15)

Depth-Based Classification and Calculation of Data Depth

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. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 ).

Copy Link

Version

Down Chevron

Install

install.packages('ddalpha')

Monthly Downloads

2,949

Version

1.3.15

License

GPL-2

Last Published

January 12th, 2024

Functions in ddalpha (1.3.15)