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oclust  

Gaussian Model-Based Clustering with Outliers
View on CRAN: Click here


Download and install oclust package within the R console
Install from CRAN:
install.packages("oclust")

Install from Github:
library("remotes")
install_github("cran/oclust")

Install by package version:
library("remotes")
install_version("oclust", "1.0.0")



Attach the package and use:
library("oclust")
Maintained by
Paul D. McNicholas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-29
Latest Update: 2025-07-08
Description:
Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2022) .
How to cite:
Paul D. McNicholas (2019). oclust: Gaussian Model-Based Clustering with Outliers. R package version 1.0.0, https://cran.r-project.org/web/packages/oclust. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:36), 0.1.0 (2019-08-29 09:20), 0.2.0 (2022-12-16 22:20)
Other packages that cited oclust R package
View oclust citation profile
Other R packages that oclust depends, imports, suggests or enhances
Complete documentation for oclust
Functions, R codes and Examples using the oclust R package
Some associated functions: MixBetaDens . findGrossOuts . minMD . oclust . plot.oclust . print.oclust . print.summary.oclust . simOuts . summary.oclust . 
Some associated R codes: Rfunctions.R .  Full oclust package functions and examples
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