# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "ddalpha" in publications use:' type: software license: GPL-2.0-only title: 'ddalpha: Depth-Based Classification and Calculation of Data Depth' version: 1.3.16 doi: 10.18637/jss.v091.i05 identifiers: - type: doi value: 10.32614/CRAN.package.ddalpha abstract: 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 ). authors: - family-names: Pokotylo given-names: Oleksii email: alexey.pokotylo@gmail.com - family-names: Mozharovskyi given-names: Pavlo email: pavlo.mozharovskyi@telecom-paris.fr - family-names: Dyckerhoff given-names: Rainer email: rainer.dyckerhoff@statistik.uni-koeln.de - family-names: Nagy given-names: Stanislav email: nagy@karlin.mff.cuni.cz preferred-citation: type: article title: Depth and Depth-Based Classification with R Package ddalpha authors: - family-names: Pokotylo given-names: Oleksii email: oleksii.pokotylo@gmail.com - family-names: Mozharovskyi given-names: Pavlo email: pavlo.mozharovskyi@ensai.fr - family-names: Dyckerhoff given-names: Rainer email: rainer.dyckerhoff@statistik.uni-koeln.de journal: Journal of Statistical Software year: '2019' volume: '91' issue: '5' doi: 10.18637/jss.v091.i05 start: '1' end: '46' repository: https://cran.r-universe.dev commit: 36b14b571620d9630e2520597c92efa5e2158e67 date-released: '2024-09-29' contact: - family-names: Pokotylo given-names: Oleksii email: alexey.pokotylo@gmail.com