rcccd: Class Cover Catch Digraph Classification (original) (raw)
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>.
Version: | 0.3.2 |
---|---|
Depends: | R (≥ 4.2) |
Imports: | Rcpp, RANN, Rfast, proxy |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2023-04-24 |
DOI: | 10.32614/CRAN.package.rcccd |
Author: | Fatih Saglam [aut, cre] |
Maintainer: | Fatih Saglam |
License: | MIT + file |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | rcccd results |
Documentation:
Reference manual: | rcccd.pdf |
---|
Downloads:
Package source: | rcccd_0.3.2.tar.gz |
---|---|
Windows binaries: | r-devel: rcccd_0.3.2.zip, r-release: rcccd_0.3.2.zip, r-oldrel: rcccd_0.3.2.zip |
macOS binaries: | r-release (arm64): rcccd_0.3.2.tgz, r-oldrel (arm64): rcccd_0.3.2.tgz, r-release (x86_64): rcccd_0.3.2.tgz, r-oldrel (x86_64): rcccd_0.3.2.tgz |
Reverse dependencies:
Reverse depends: | imbalanceDatRel |
---|
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=rcccdto link to this page.