MoEClust (1.2.1)

0 users

Gaussian Parsimonious Clustering Models with Covariates.

https://cran.r-project.org/package=MoEClust
http://cran.r-project.org/web/packages/MoEClust

Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2017) . 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 via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots is also facilitated.

Maintainer: Keefe Murphy
Author(s): Keefe Murphy [aut, cre], Thomas Brendan Murphy [ctb]

License: GPL (>= 2)

Uses: lattice, matrixStats, mclust, mvnfast, nnet, vcd, cluster, geometry, knitr, clustMD, rmarkdown

Released 4 months ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of MoEClust yet. Want to be the first? Write one now.


Related packages: FunCluster, GLDEX, GSM, amap, bayesm, bayesmix, cba, cclust, clValid, clue, clusterGeneration, clusterRepro, clusterSim, cluster, clusterfly, clustvarsel, clv, depmix, e1071, flexclust(20 best matches, based on common tags.)


Search for MoEClust on google, google scholar, r-help, r-devel.

Visit MoEClust on R Graphical Manual.