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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>.

Version: 0.0.1
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.12.18), Tinflex (≥ 1.8), flexmix, torch, methods
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-10-17
DOI: 10.32614/CRAN.package.circlus
Author: Lukas Sablica ORCID iD [aut, cre], Kurt Hornik ORCID iD [aut], Bettina Gruen ORCID iD [aut], Josef Leydold ORCID iD [aut]
Maintainer: Lukas Sablica <lsablica at wu.ac.at>
License: GPL-3
NeedsCompilation: yes
CRAN checks: circlus results

Documentation:

Reference manual: circlus.pdf

Downloads:

Package source: circlus_0.0.1.tar.gz
Windows binaries: r-devel: circlus_0.0.1.zip, r-release: circlus_0.0.1.zip, r-oldrel: circlus_0.0.1.zip
macOS binaries: r-release (arm64): circlus_0.0.1.tgz, r-oldrel (arm64): circlus_0.0.1.tgz, r-release (x86_64): circlus_0.0.1.tgz, r-oldrel (x86_64): circlus_0.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.