Package: leptokurticMixture 1.1

Ryan Browne

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.tar.gz(r-4.7-arm64)leptokurticMixture_1.1.tar.gz(r-4.7-x86_64)leptokurticMixture_1.1.tar.gz(r-4.6-arm64)leptokurticMixture_1.1.tar.gz(r-4.6-x86_64)
leptokurticMixture_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
leptokurticMixture/json (API)

# Install 'leptokurticMixture' in R:
install.packages('leptokurticMixture', repos = c('https://cran.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 174 downloads 4 exports 0 dependencies

Last updated from:405074013d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK87
source / vignettesOK125
linux-release-arm64OK99
linux-release-x86_64OK93
wasm-releaseOK85

Exports:compareEstimationEMpmlnrmln

Dependencies: