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oclust (version 1.0.0)

Gaussian Model-Based Clustering with Outliers

Description

Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2024) .

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Version

Install

install.packages('oclust')

Monthly Downloads

193

Version

1.0.0

License

GPL (>= 2)

Maintainer

Katharine M. Clark

Last Published

July 8th, 2025

Functions in oclust (1.0.0)

plot.oclust

Plots results of the ‘oclust’ algorithm.
summary.oclust

Summarizes key results for ‘oclust’ class objects.
minMD

Minimum Mahalanobis Distance
print.oclust

Print oclust
oclust

The OCLUST Algorithm
MixBetaDens

Mixture of Beta Functions
findGrossOuts

Find Initial Gross Outliers
print.summary.oclust

Prints the summary of key results for ‘oclust’ class objects.
simOuts

Simulate Outliers