Package: circlus 0.0.2

Lukas Sablica

circlus: Clustering and Simulation of Spherical Cauchy and PKBD Models

Provides tools for estimation and clustering of spherical data, seamlessly integrated with the 'flexmix' package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.

Authors:Lukas Sablica [aut, cre], Kurt Hornik [aut], Bettina Gruen [aut], Josef Leydold [aut]

circlus_0.0.2.tar.gz
circlus_0.0.2.tar.gz(r-4.7-arm64)circlus_0.0.2.tar.gz(r-4.7-x86_64)circlus_0.0.2.tar.gz(r-4.6-arm64)circlus_0.0.2.tar.gz(r-4.6-x86_64)
circlus_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
circlus/json (API)

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

Bug tracker:https://github.com/lsablica/circlus/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Abstracts - Abstracts of Papers Co-Authored by Friedrich Leisch

On CRAN:

Conda:

openblascppopenmp

1.00 score 1 scripts 181 downloads 8 exports 30 dependencies

Last updated from:c04fbee548. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK143
linux-devel-x86_64OK143
source / vignettesOK196
linux-release-arm64OK147
linux-release-x86_64OK152
wasm-releaseOK124

Exports:dpkbdspcauchyFLXMCpkbFLXMCspcauchyFLXMRpkbFLXMRspcauchyrpkbrspcauchy

Dependencies:bitbit64callrclicorodescfarverflexmixgluejsonlitelabelinglatticelifecyclemagrittrmodeltoolsnnetotelprocessxpsR6RColorBrewerRcppRcppArmadillorlangsafetensorsscalesTinflextorchviridisLitewithr