rcccd
Class Cover Catch Digraph Classification
Fit Class Cover Catch Digraph Classification models that can be used in machine learning. Pure and proper and random walk approaches are available. Methods are explained in Priebe et al. (2001) <doi:10.1016/S0167-7152(01)00129-8>, Priebe et al. (2003) <doi:10.1007/s00357-003-0003-7>, and Manukyan and Ceyhan (2016) <doi:10.48550/arXiv.1904.04564>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.2 |
rolling linux/jammy R-4.5 | rcccd_0.3.2.tar.gz |
94.1 KiB |
0.3.2 |
rolling linux/noble R-4.5 | rcccd_0.3.2.tar.gz |
95.8 KiB |
0.3.2 |
rolling source/ R- | rcccd_0.3.2.tar.gz |
10.5 KiB |
0.3.2 |
latest linux/jammy R-4.5 | rcccd_0.3.2.tar.gz |
94.1 KiB |
0.3.2 |
latest linux/noble R-4.5 | rcccd_0.3.2.tar.gz |
95.8 KiB |
0.3.2 |
latest source/ R- | rcccd_0.3.2.tar.gz |
10.5 KiB |
0.3.2 |
2026-04-26 source/ R- | rcccd_0.3.2.tar.gz |
10.5 KiB |
0.3.2 |
2026-04-23 source/ R- | rcccd_0.3.2.tar.gz |
10.5 KiB |
0.3.2 |
2026-04-09 windows/windows R-4.5 | rcccd_0.3.2.zip |
417.3 KiB |
0.3.2 |
2025-04-20 source/ R- | rcccd_0.3.2.tar.gz |
10.5 KiB |