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MoEClust
View on CRAN: Click
here
Download and install MoEClust package within the R console
Install from CRAN:
install.packages("MoEClust")
Install from Github:
library("remotes")
install_github("cran/MoEClust")
Install by package version:
library("remotes")
install_version("MoEClust", "1.6.0")
Attach the package and use:
library("MoEClust")
Maintained by
Keefe Murphy
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.MoEClust . https://github.com/Keefe-Murphy/MoEClust/issues . https://cran.r-project.org/package=MoEClust . MoEClust citation info . MoEClust results . MoEClust.pdf . MoEClust . MoEClust_1.6.0.tar.gz . MoEClust_1.6.0.zip . MoEClust_1.6.0.zip . MoEClust_1.6.0.zip . MoEClust_1.6.0.tgz . MoEClust_1.6.0.tgz . MoEClust_1.6.0.tgz . MoEClust_1.6.0.tgz . MoEClust_1.6.0.tgz . MoEClust_1.6.0.tgz . MoEClust archive . https://CRAN.R-project.org/package=MoEClust .
First Published: 2017-11-28
Latest Update: 2022-12-20
Description:
Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) . This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
How to cite:
Keefe Murphy (2017). MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component. R package version 1.6.0, https://cran.r-project.org/web/packages/MoEClust. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.0.0 (2017-11-28 19:24), 1.1.0 (2018-02-06 15:41), 1.2.0 (2018-08-24 16:34), 1.2.1 (2018-12-11 13:20), 1.2.2 (2019-05-15 15:30), 1.2.3 (2019-07-31 15:05), 1.2.4 (2019-12-11 06:50), 1.3.0 (2020-03-31 00:52), 1.3.1 (2020-05-12 19:00), 1.3.2 (2020-11-18 00:40), 1.3.3 (2021-01-06 17:10), 1.4.0 (2021-06-22 06:00), 1.4.1 (2021-10-12 14:20), 1.4.2 (2021-12-20 00:32), 1.5.0 (2022-03-28 16:50), 1.5.1 (2022-12-20 14:30), 1.5.2 (2023-12-11 09:00)
Other packages that cited MoEClust R package
View MoEClust citation profile
Other R packages that MoEClust depends,
imports, suggests or enhances
Complete documentation for MoEClust
Functions, R codes and Examples using
the MoEClust R package
Some associated functions: CO2data . MoEClust-package . MoE_AvePP . MoE_Similarity . MoE_Uncertainty . MoE_clust . MoE_compare . MoE_control . MoE_crit . MoE_cstep . MoE_dens . MoE_entropy . MoE_estep . MoE_gpairs . MoE_mahala . MoE_news . MoE_plotCrit . MoE_plotGate . MoE_plotLogLik . MoE_stepwise . ais . aitken . as.Mclust . drop_constants . drop_levels . expert_covar . force_posiDiag . noise_vol . plot.MoEClust . predict.MoEClust . predict.MoE_expert . predict.MoE_gating . quant_clust .
Some associated R codes: Functions.R . MoEClust.R . Plotting_Functions.R . data.R . Full MoEClust package functions and examples
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