Package: teigen 2.2.2

teigen: Model-Based Clustering and Classification with the Multivariate t Distribution

Fits mixtures of multivariate t-distributions (with eigen-decomposed covariance structure) via the expectation conditional-maximization algorithm under a clustering or classification paradigm.

Authors:Jeffrey L. Andrews, Jaymeson R. Wickins, Nicholas M. Boers, Paul D. McNicholas

teigen_2.2.2.tar.gz
teigen_2.2.2.zip(r-4.7-x86_64)teigen_2.2.2.zip(r-4.7-arm64)teigen_2.2.2.zip(r-4.6-x86_64)teigen_2.2.2.zip(r-4.6-arm64)teigen_2.2.2.zip(r-4.5-x86_64)
teigen_2.2.2.tgz(r-4.6-x86_64)teigen_2.2.2.tgz(r-4.6-arm64)teigen_2.2.2.tgz(r-4.5-x86_64)teigen_2.2.2.tgz(r-4.5-arm64)
teigen_2.2.2.tar.gz(r-4.7-arm64)teigen_2.2.2.tar.gz(r-4.7-x86_64)teigen_2.2.2.tar.gz(r-4.6-arm64)teigen_2.2.2.tar.gz(r-4.6-x86_64)
teigen_2.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
teigen/json (API)

# Install 'teigen' in R:
install.packages('teigen', repos = c('https://its-likeli-jeff.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ckd - Indian Chronic Kidney Disease Data

On CRAN:

Conda:

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

1.82 score 1 stars 1 packages 22 scripts 335 downloads 1 exports 0 dependencies

Last updated from:b89c666796. Checks:15 OK. Indexed: yes.

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source / vignettesOK183
linux-release-arm64OK97
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macos-release-arm64OK142
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macos-oldrel-arm64OK189
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windows-devel-arm64OK314
windows-devel-x86_64OK92
windows-release-arm64OK300
windows-release-x86_64OK80
windows-oldrel-x86_64OK70
wasm-releaseOK85

Exports:teigen

Dependencies: