Package: oclust 1.0.0

oclust: Gaussian Model-Based Clustering with Outliers

Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2024) <doi:10.1007/s00357-024-09473-3>.

Authors:Katharine M. Clark [aut, cre], Paul D. McNicholas [aut]

oclust_1.0.0.tar.gz
oclust_1.0.0.zip(r-4.7)oclust_1.0.0.zip(r-4.6)oclust_1.0.0.zip(r-4.5)
oclust_1.0.0.tgz(r-4.6-any)oclust_1.0.0.tgz(r-4.5-any)
oclust_1.0.0.tar.gz(r-4.7-any)oclust_1.0.0.tar.gz(r-4.6-any)
oclust_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
oclust/json (API)

# Install 'oclust' in R:
install.packages('oclust', repos = c('https://clarkkm2.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.

1.30 score 2 scripts 196 downloads 2 mentions 5 exports 23 dependencies

Last updated from:5c9bffcfe7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
source / vignettesOK186
linux-release-x86_64OK154
macos-release-arm64OK156
macos-oldrel-arm64OK219
windows-develOK118
windows-releaseOK105
windows-oldrelOK96
wasm-releaseOK125

Exports:findGrossOutsminMDMixBetaDensoclustsimOuts

Dependencies:BHclicrayondbscanentropygenericsgluehmslatticelifecycleMASSmclustmixturemvtnormpkgconfigprettyunitsprogressR6RcppRcppArmadilloRcppGSLrlangvctrs