The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

mclustAddons: Addons for the 'mclust' Package

Extend the functionality of the 'mclust' package for Gaussian finite mixture modeling by including: density estimation for data with bounded support (Scrucca, 2019 <doi:10.1002/bimj.201800174>); modal clustering using MEM (Modal EM) algorithm for Gaussian mixtures (Scrucca, 2021 <doi:10.1002/sam.11527>); entropy estimation via Gaussian mixture modeling (Robin & Scrucca, 2023 <doi:10.1016/j.csda.2022.107582>); Gaussian mixtures modeling of financial log-returns (Scrucca, 2024 <doi:10.3390/e26110907>).

Version: 0.9.1
Depends: mclust (≥ 6.1), R (≥ 4.0)
Imports: cli, doParallel, doRNG (≥ 1.6), foreach, graphics, grDevices, iterators, knitr (≥ 1.12), parallel, Rcpp (≥ 1.0), rmarkdown (≥ 0.9), stats, utils
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10)
Published: 2024-11-13
DOI: 10.32614/CRAN.package.mclustAddons
Author: Luca Scrucca ORCID iD [aut, cre, cph]
Maintainer: Luca Scrucca <luca.scrucca at unibo.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://mclust-org.github.io/mclustAddons/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: mclustAddons results

Documentation:

Reference manual: mclustAddons.pdf
Vignettes: A quick tour of mclustAddons (source, R code)

Downloads:

Package source: mclustAddons_0.9.1.tar.gz
Windows binaries: r-devel: mclustAddons_0.9.1.zip, r-release: mclustAddons_0.9.1.zip, r-oldrel: mclustAddons_0.9.1.zip
macOS binaries: r-release (arm64): mclustAddons_0.9.1.tgz, r-oldrel (arm64): mclustAddons_0.9.1.tgz, r-release (x86_64): mclustAddons_0.9.1.tgz, r-oldrel (x86_64): mclustAddons_0.9.1.tgz
Old sources: mclustAddons archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mclustAddons to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.