Package: mixSPE 0.9.3

Utkarsh J. Dang

mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification

Mixtures of skewed and elliptical distributions are implemented using mixtures of multivariate skew power exponential and power exponential distributions, respectively. A generalized expectation-maximization framework is used for parameter estimation. See citation() for how to cite.

Authors:Ryan P. Browne [aut], Utkarsh J. Dang [aut, cre], Michael P. B. Gallaugher [ctb], Paul D. McNicholas [aut]

mixSPE_0.9.3.tar.gz
mixSPE_0.9.3.zip(r-4.7-any)mixSPE_0.9.3.zip(r-4.6-any)
mixSPE_0.9.3.tar.gz(r-4.7-any)mixSPE_0.9.3.tar.gz(r-4.6-any)
mixSPE_0.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mixSPE/json (API)

# Install 'mixSPE' in R:
install.packages('mixSPE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 1 scripts 310 downloads 4 exports 1 dependencies

Last updated from:4b45ad915a. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK150
linux-releaseOK93
windows-develOK78
windows-releaseOK68
wasm-releaseOK89

Exports:EMGrprint.spemixrperspe

Dependencies:mvtnorm