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-4.7-x86_64)leptokurticMixture_1.1.zip(r-4.7-arm64)leptokurticMixture_1.1.zip(r-4.6-x86_64)leptokurticMixture_1.1.zip(r-4.6-arm64)leptokurticMixture_1.1.zip(r-4.5-x86_64)
leptokurticMixture_1.1.tgz(r-4.6-x86_64)leptokurticMixture_1.1.tgz(r-4.6-arm64)leptokurticMixture_1.1.tgz(r-4.5-x86_64)leptokurticMixture_1.1.tgz(r-4.5-arm64)
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✨
DESCRIPTION
card.svg |card.png
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 193 downloads 4 exports 0 dependencies

Last updated from:405074013d. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK74
linux-devel-x86_64OK85
source / vignettesOK185
linux-release-arm64OK68
linux-release-x86_64OK90
macos-release-arm64OK78
macos-release-x86_64OK375
macos-oldrel-arm64OK85
macos-oldrel-x86_64OK402
windows-devel-arm64OK315
windows-devel-x86_64OK89
windows-release-arm64OK310
windows-release-x86_64OK74
windows-oldrel-x86_64OK63
wasm-releaseOK61

Exports:compareEstimationEMpmlnrmln

Dependencies: