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. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.16 |
rolling linux/jammy R-4.5 | ddalpha_1.3.16.tar.gz |
1.1 MiB |
1.3.16 |
rolling linux/noble R-4.5 | ddalpha_1.3.16.tar.gz |
1.1 MiB |
1.3.16 |
rolling source/ R- | ddalpha_1.3.16.tar.gz |
479.9 KiB |
1.3.16 |
latest linux/jammy R-4.5 | ddalpha_1.3.16.tar.gz |
1.1 MiB |
1.3.16 |
latest linux/noble R-4.5 | ddalpha_1.3.16.tar.gz |
1.1 MiB |
1.3.16 |
latest source/ R- | ddalpha_1.3.16.tar.gz |
479.9 KiB |
1.3.16 |
2026-04-26 source/ R- | ddalpha_1.3.16.tar.gz |
479.9 KiB |
1.3.16 |
2026-04-23 source/ R- | ddalpha_1.3.16.tar.gz |
479.9 KiB |
1.3.16 |
2026-04-09 windows/windows R-4.5 | ddalpha_1.3.16.zip |
1.4 MiB |
1.3.16 |
2025-04-20 source/ R- | ddalpha_1.3.16.tar.gz |
479.9 KiB |