Package: circlus 0.0.1

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_0.0.1.tar.gz
circlus_0.0.1.tar.gz(r-4.5-noble)circlus_0.0.1.tar.gz(r-4.4-noble)
circlus_0.0.1.tgz(r-4.4-emscripten)circlus_0.0.1.tgz(r-4.3-emscripten)
circlus.pdf |circlus.html
circlus/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 1 scripts 159 downloads 8 exports 24 dependencies

Last updated 2 months agofrom:d648747540. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-linux-x86_64OKDec 17 2024

Exports:dpkbddspcauchyFLXMCpkbdFLXMCspcauchyFLXMRpkbdFLXMRspcauchyrpkbdrspcauchy

Dependencies:bitbit64callrclicorodescellipsisflexmixgluejsonlitelatticemagrittrmodeltoolsnnetprocessxpsR6RcppRcppArmadillorlangsafetensorsTinflextorchwithr