Package: rcccd 0.4.0

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_0.4.0.tar.gz
rcccd_0.4.0.zip(r-4.7-x86_64)rcccd_0.4.0.zip(r-4.7-arm64)rcccd_0.4.0.zip(r-4.6-x86_64)rcccd_0.4.0.zip(r-4.6-arm64)rcccd_0.4.0.zip(r-4.5-x86_64)
rcccd_0.4.0.tgz(r-4.6-x86_64)rcccd_0.4.0.tgz(r-4.6-arm64)rcccd_0.4.0.tgz(r-4.5-x86_64)rcccd_0.4.0.tgz(r-4.5-arm64)
rcccd_0.4.0.tar.gz(r-4.7-arm64)rcccd_0.4.0.tar.gz(r-4.7-x86_64)rcccd_0.4.0.tar.gz(r-4.6-arm64)rcccd_0.4.0.tar.gz(r-4.6-x86_64)
rcccd_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
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 1 scripts 309 downloads 4 exports 6 dependencies

Last updated from:0d87c80be5. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK115
source / vignettesOK163
linux-release-arm64OK126
linux-release-x86_64OK162
macos-release-arm64OK227
macos-release-x86_64OK267
macos-oldrel-arm64OK210
macos-oldrel-x86_64OK244
windows-devel-arm64OK361
windows-devel-x86_64OK185
windows-release-arm64OK341
windows-release-x86_64OK178
windows-oldrel-x86_64OK162
wasm-releaseOK112

Exports:pcccd_classifierpcccd_ensemble_classifierrwcccd_classifierrwcccd_classifier_2

Dependencies:RANNRcppRcppArmadilloRcppParallelRfastzigg