Package: mixSPE 0.9.2

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, cre], Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], and Paul D. McNicholas[aut]

mixSPE_0.9.2.tar.gz
mixSPE_0.9.2.tar.gz(r-4.5-noble)mixSPE_0.9.2.tar.gz(r-4.4-noble)
mixSPE_0.9.2.tgz(r-4.4-emscripten)mixSPE_0.9.2.tgz(r-4.3-emscripten)
mixSPE.pdf |mixSPE.html✨
mixSPE/json (API)
NEWS

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

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

1.00 score 234 downloads 4 exports 1 dependencies

Last updated 1 years agofrom:a0b668218c. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-linuxOKFeb 08 2025

Exports:EMGrprint.spemixrperspe

Dependencies:mvtnorm