Package: leptokurticMixture 1.1

leptokurticMixture: Implements Parsimonious Finite Mixtures of Multivariate Elliptical Leptokurtic-Normals

A way to fit Parsimonious Finite Mixtures of Multivariate Elliptical Leptokurtic-Normals. Two methods of estimation are implemented.

Authors:Ryan Browne [aut, cre], Luca Bagnato [ctb], Antonio Punzo [ctb]

leptokurticMixture_1.1.tar.gz
leptokurticMixture_1.1.zip(r-4.5)leptokurticMixture_1.1.zip(r-4.4)leptokurticMixture_1.1.zip(r-4.3)
leptokurticMixture_1.1.tgz(r-4.5-x86_64)leptokurticMixture_1.1.tgz(r-4.5-arm64)leptokurticMixture_1.1.tgz(r-4.4-x86_64)leptokurticMixture_1.1.tgz(r-4.4-arm64)leptokurticMixture_1.1.tgz(r-4.3-x86_64)leptokurticMixture_1.1.tgz(r-4.3-arm64)
leptokurticMixture_1.1.tar.gz(r-4.5-noble)leptokurticMixture_1.1.tar.gz(r-4.4-noble)
leptokurticMixture_1.1.tgz(r-4.4-emscripten)leptokurticMixture_1.1.tgz(r-4.3-emscripten)
leptokurticMixture.pdf |leptokurticMixture.html
leptokurticMixture/json (API)

# Install 'leptokurticMixture' in R:
install.packages('leptokurticMixture', repos = c('https://rpbrowne.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

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

openblas

1.00 score 256 downloads 4 exports 0 dependencies

Last updated 2 years agofrom:405074013d. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-win-x86_64OKMar 07 2025
R-4.5-mac-x86_64OKMar 07 2025
R-4.5-mac-aarch64OKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-win-x86_64OKMar 07 2025
R-4.4-mac-x86_64OKMar 07 2025
R-4.4-mac-aarch64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025
R-4.3-win-x86_64OKMar 07 2025
R-4.3-mac-x86_64OKMar 07 2025
R-4.3-mac-aarch64OKMar 07 2025

Exports:compareEstimationEMpmlnrmln

Dependencies: