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
[aut, cre] (<https://orcid.org/0000-0001-9166-4563>),
Kurt Hornik [aut]
(<https://orcid.org/0000-0003-4198-9911>),
Bettina Gruen
[aut] (<https://orcid.org/0000-0001-7265-4773>),
Josef Leydold
[aut] (<https://orcid.org/0000-0002-9076-4893>) |
Maintainer: |
Lukas Sablica <lsablica at wu.ac.at> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
CRAN checks: |
circlus results |
Documentation:
Downloads:
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