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ddalpha
View on CRAN: Click
here
Download and install ddalpha package within the R console
Install from CRAN:
install.packages("ddalpha")
Install from Github:
library("remotes")
install_github("cran/ddalpha") Install by package version:
library("remotes")
install_version("ddalpha", "1.3.16") Attach the package and use:
library("ddalpha")
Maintained by
Oleksii Pokotylo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-28
Latest Update: 2024-09-30
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 ).
How to cite:
Oleksii Pokotylo (2013). ddalpha: Depth-Based Classification and Calculation of Data Depth. R package version 1.3.16, https://cran.r-project.org/web/packages/ddalpha. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0.3 (2013-02-28 14:26), 1.0.4 (2013-05-16 13:16), 1.0.5 (2014-03-16 06:25), 1.0.6 (2014-03-28 07:18), 1.1.0 (2014-12-20 10:38), 1.1.1 (2015-05-19 15:10), 1.1.2.2 (2015-07-01 22:50), 1.1.2.3 (2015-07-04 00:14), 1.1.3.1 (2015-07-24 21:32), 1.1.3 (2015-07-23 15:24), 1.2.0.1 (2016-07-27 11:07), 1.2.0 (2016-07-25 20:31), 1.2.1 (2016-10-10 01:48), 1.3.1.1 (2018-02-02 22:20), 1.3.1 (2017-09-27 22:30), 1.3.2 (2018-04-08 20:43), 1.3.3 (2018-04-30 22:58), 1.3.4 (2018-06-23 18:08), 1.3.7 (2018-12-10 23:10), 1.3.8 (2019-01-06 16:40), 1.3.9 (2019-04-07 21:02), 1.3.10 (2019-10-26 09:00), 1.3.11 (2020-01-09 14:10), 1.3.12 (2022-03-14 00:00), 1.3.13 (2022-03-23 08:50), 1.3.15 (2024-01-12 16:00)
Other packages that cited ddalpha R package
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Other R packages that ddalpha depends,
imports, suggests or enhances
Complete documentation for ddalpha
Functions, R codes and Examples using
the ddalpha R package
Some associated functions: Cmetric . CustomMethods . FKS . L2metric . compclassf.classify . compclassf.train . dataf. . dataf.geneexp . dataf.growth . dataf.medflies . dataf . dataf.population . dataf.population2010 . dataf.sim.1.CFF07 . dataf.sim.2.CFF07 . dataf.tecator . dataf2rawfd . ddalpha-package . ddalpha.classify . ddalpha.getErrorRateCV . ddalpha.getErrorRatePart . ddalpha.test . ddalpha.train . ddalphaf.classify . ddalphaf.getErrorRateCV . ddalphaf.getErrorRatePart . ddalphaf.test . ddalphaf.train . depth. . depth.L2 . depth.Mahalanobis . depth.betaSkeleton . depth.contours.ddalpha . depth.contours . depth.graph . depth.halfspace . depth.potential . depth.projection . depth.qhpeeling . depth.sample . depth.simplicial . depth.simplicialVolume . depth.space. . depth.space.Mahalanobis . depth.space.halfspace . depth.space.potential . depth.space.projection . depth.space.simplicial . depth.space.simplicialVolume . depth.space.spatial . depth.space.zonoid . depth.spatial . depth.zonoid . depthf. . depthf.ABD . depthf.BD . depthf.HR . depthf.RP1 . depthf.RP2 . depthf.fd1 . depthf.fd2 . depthf.hM . depthf.hM2 . depthf.simplicialBand . derivatives.est . dknn.classify . dknn.classify.trained . dknn.train . draw.ddplot . getdata . infimalRank . is.in.convex . plot.ddalpha . plot.ddalphaf . plot.functional . rawfd2dataf . resetPar . shape.fd.analysis . shape.fd.outliers .
Some associated R codes: depth.fd.R . depthf.simplicialBand.R . dknn.R . getdata.R . Full ddalpha package functions and examples
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