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-x86_64)rcccd_0.3.4.zip(r-4.7-arm64)rcccd_0.3.4.zip(r-4.6-x86_64)rcccd_0.3.4.zip(r-4.6-arm64)rcccd_0.3.4.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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 207 downloads 4 exports 7 dependencies

Last updated from:e23ad71831. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK152
linux-devel-x86_64OK116
source / vignettesOK159
linux-release-arm64OK112
linux-release-x86_64OK117
macos-release-arm64OK109
macos-release-x86_64OK174
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK312
windows-devel-arm64OK337
windows-devel-x86_64OK123
windows-release-arm64OK351
windows-release-x86_64OK95
windows-oldrel-x86_64OK104
wasm-releaseOK115

Exports:pcccd_classifierpcccd_ensemble_classifierrwcccd_classifierrwcccd_classifier_2

Dependencies:proxyRANNRcppRcppArmadilloRcppParallelRfastzigg