Package: rcccd 0.3.4

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_0.3.4.tar.gz
rcccd_0.3.4.zip(r-4.7)rcccd_0.3.4.zip(r-4.6)rcccd_0.3.4.zip(r-4.5)
rcccd_0.3.4.tgz(r-4.6-x86_64)rcccd_0.3.4.tgz(r-4.6-arm64)rcccd_0.3.4.tgz(r-4.5-x86_64)rcccd_0.3.4.tgz(r-4.5-arm64)
rcccd_0.3.4.tar.gz(r-4.7-arm64)rcccd_0.3.4.tar.gz(r-4.7-x86_64)rcccd_0.3.4.tar.gz(r-4.6-arm64)rcccd_0.3.4.tar.gz(r-4.6-x86_64)
rcccd_0.3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rcccd/json (API)

# Install 'rcccd' in R:
install.packages('rcccd', repos = c('https://fatihsaglam.r-universe.dev', 'https://cloud.r-project.org'))

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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.18 score 1 stars 1 packages 7 scripts 143 downloads 4 exports 7 dependencies

Last updated from:e23ad71831. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK117
source / vignettesOK177
linux-release-arm64OK124
linux-release-x86_64OK123
macos-release-arm64OK151
macos-release-x86_64OK305
macos-oldrel-arm64OK183
macos-oldrel-x86_64OK274
windows-develOK132
windows-releaseOK113
windows-oldrelOK100
wasm-releaseOK108

Exports:pcccd_classifierpcccd_ensemble_classifierrwcccd_classifierrwcccd_classifier_2

Dependencies:proxyRANNRcppRcppArmadilloRcppParallelRfastzigg