Package: rcccd 0.3.3

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>.

Authors:Fatih Saglam [aut, cre]

rcccd_0.3.3.tar.gz
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rcccd.pdf |rcccd.html✨
rcccd/json (API)

Peer review:

Bug tracker:https://github.com/fatihsaglam/rcccd/issues

On CRAN:

4 exports 2 stars 1.25 score 8 dependencies 1 dependents 7 scripts 130 downloads

Last updated 4 months agofrom:177f0d7ce1. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:pcccd_classifierpcccd_ensemble_classifierrwcccd_classifierrwcccd_classifier_2

Dependencies:proxyRANNRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast