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)teigen_2.2.2.zip(r-4.6)teigen_2.2.2.zip(r-4.5)
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✨
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.

1.86 score 1 stars 1 packages 24 scripts 265 downloads 1 exports 0 dependencies

Last updated from:b89c666796. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK100
linux-devel-x86_64OK107
source / vignettesOK131
linux-release-arm64OK101
linux-release-x86_64OK107
macos-release-arm64OK117
macos-release-x86_64OK261
macos-oldrel-arm64OK122
macos-oldrel-x86_64OK283
windows-develOK66
windows-releaseOK67
windows-oldrelOK69
wasm-releaseOK82

Exports:teigen

Dependencies: