Other packages > Find by keyword >

mixAK  

Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mixAK", "5.8")



Attach the package and use:
library("mixAK")
Maintained by
Arnošt Komárek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-05-07
Latest Update: 2024-09-16
Description:
Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.
How to cite:
Arnošt Komárek (2009). mixAK: Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering. R package version 5.8, https://cran.r-project.org/web/packages/mixAK. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 0.3 (2009-05-07 11:21), 0.4 (2009-06-25 09:34), 0.5 (2009-08-13 10:59), 0.6 (2010-01-03 18:25), 0.7-2 (2010-02-17 16:24), 0.8 (2010-02-18 21:22), 1.0 (2010-06-15 19:04), 1.1 (2010-07-30 13:34), 1.3 (2011-02-20 17:16), 1.4 (2011-02-27 19:05), 2.2 (2011-12-20 12:47), 2.4 (2012-06-19 11:20), 2.6 (2012-09-25 13:51), 2.7 (2012-12-27 10:20), 3.0-1 (2013-02-08 14:26), 3.1 (2013-06-11 10:43), 3.4 (2013-08-05 18:46), 3.5 (2013-09-23 08:58), 3.6-1 (2014-08-06 19:34), 3.6 (2014-05-21 11:59), 3.8 (2014-09-03 22:14), 3.10 (2015-02-06 11:22), 4.0-5 (2015-05-20 15:39), 4.1-1 (2015-07-28 12:02), 4.2 (2015-08-02 08:23), 4.4 (2016-10-11 13:45), 5.0 (2017-03-16 08:44), 5.1 (2018-05-21 15:45), 5.2 (2020-02-10 08:50), 5.3 (2020-06-02 11:50), 5.4 (2022-04-20 01:52), 5.5 (2022-09-19 16:46), 5.6 (2023-09-25 13:00), 5.7 (2023-12-14 15:30)
Other packages that cited mixAK R package
View mixAK citation profile
Other R packages that mixAK depends, imports, suggests or enhances
Complete documentation for mixAK
Functions, R codes and Examples using the mixAK R package
Some associated functions: Acidity . BLA . BsBasis . Dirichlet . Enzyme . Faithful . GLMMMCMC . GLMMMCMCdata . GLMMMCMCifit . GLMMMCMCinit.alpha . GLMMMCMCinit.b . GLMMMCMCinit.eps . GLMMMCMCprior.alpha . GLMMMCMCprior.b . GLMMMCMCprior.eps . GLMMMCMCscale.b . GLMMMCMCwrapper . GLMMlongitDA . GLMMlongitDA2 . Galaxy . MVN . MVNmixture . MVT . MatMPpinv . MatSqrt . NMixChainComp . NMixChainsDerived . NMixCluster . NMixEM . NMixMCMC . NMixMCMCdata . NMixMCMCinitr . NMixMCMCinity . NMixMCMCwrapper . NMixPlugCondDensJoint2 . NMixPlugCondDensMarg . NMixPlugDA . NMixPlugDensJoint2 . NMixPlugDensMarg . NMixPredCDFMarg . NMixPredCondCDFMarg . NMixPredCondDensJoint2 . NMixPredCondDensMarg . NMixPredDA . NMixPredDensJoint2 . NMixPredDensMarg . NMixPseudoGOF . NMixRelabel . NMixRelabelAlgorithm . NMixSummComp . PBC910 . PBCseq . SP2Rect . SimData . TMVN . TNorm . Tandmob . TandmobEmer . Wishart . Y2T . autolayout . cbplot . fitted.GLMMMCMC . generatePermutations . getProfiles . plot.NMixPlugCondDensJoint2 . plot.NMixPlugCondDensMarg . plot.NMixPlugDensJoint2 . plot.NMixPlugDensMarg . plot.NMixPredCDFMarg . plot.NMixPredCondCDFMarg . plot.NMixPredCondDensJoint2 . plot.NMixPredCondDensMarg . plot.NMixPredDensJoint2 . plot.NMixPredDensMarg . plotProfiles . rRotationMatrix . rSamplePair . summaryDiff . tracePlots . 
Some associated R codes: BLA.R . BsBasis.R . GLMM_MCMC.R . GLMM_MCMCdata.R . GLMM_MCMCifit.R . GLMM_MCMCinit.alpha.R . GLMM_MCMCinit.b.R . GLMM_MCMCinit.eps.R . GLMM_MCMCprior.alpha.R . GLMM_MCMCprior.b.R . GLMM_MCMCprior.eps.R . GLMM_MCMCscale.b.R . GLMM_MCMCwrapper.R . GLMM_longitDA.R . GLMM_longitDA2.R . MatMPpinv.R . MatSqrt.R . NMixChainComp.GLMM_MCMC.R . NMixChainComp.NMixMCMC.R . NMixChainComp.R . NMixChainComp.default.R . NMixChainsDerived.R . NMixCluster.GLMM_MCMC.R . NMixCluster.R . NMixCluster.default.R . NMixEM.R . NMixMCMC.R . NMixMCMCdata.R . NMixMCMCinitr.R . NMixMCMCinity.R . NMixMCMCwrapper.R . NMixPlugCondDensJoint2.GLMM_MCMC.R . NMixPlugCondDensJoint2.NMixMCMC.R . NMixPlugCondDensJoint2.R . NMixPlugCondDensJoint2.default.R . NMixPlugCondDensMarg.GLMM_MCMC.R . NMixPlugCondDensMarg.NMixMCMC.R . NMixPlugCondDensMarg.R . NMixPlugCondDensMarg.default.R . NMixPlugDA.R . NMixPlugDensJoint2.GLMM_MCMC.R . NMixPlugDensJoint2.NMixMCMC.R . NMixPlugDensJoint2.R . NMixPlugDensJoint2.default.R . NMixPlugDensMarg.GLMM_MCMC.R . NMixPlugDensMarg.NMixMCMC.R . NMixPlugDensMarg.R . NMixPlugDensMarg.default.R . NMixPredCDFMarg.GLMM_MCMC.R . NMixPredCDFMarg.NMixMCMC.R . NMixPredCDFMarg.R . NMixPredCDFMarg.default.R . NMixPredCondCDFMarg.GLMM_MCMC.R . NMixPredCondCDFMarg.NMixMCMC.R . NMixPredCondCDFMarg.R . NMixPredCondCDFMarg.default.R . NMixPredCondDensJoint2.GLMM_MCMC.R . NMixPredCondDensJoint2.NMixMCMC.R . NMixPredCondDensJoint2.R . NMixPredCondDensJoint2.default.R . NMixPredCondDensMarg.GLMM_MCMC.R . NMixPredCondDensMarg.NMixMCMC.R . NMixPredCondDensMarg.R . NMixPredCondDensMarg.default.R . NMixPredDA.R . NMixPredDensJoint2.GLMM_MCMC.R . NMixPredDensJoint2.NMixMCMC.R . NMixPredDensJoint2.R . NMixPredDensJoint2.default.R . NMixPredDensMarg.GLMM_MCMC.R . NMixPredDensMarg.NMixMCMC.R . NMixPredDensMarg.R . NMixPredDensMarg.default.R . NMixPseudoGOF.NMixMCMC.R . NMixPseudoGOF.R . NMixPseudoGOF.default.R . NMixRelabel.GLMM_MCMC.R . NMixRelabel.GLMM_MCMClist.R . NMixRelabel.NMixMCMC.R . NMixRelabel.NMixMCMClist.R . NMixRelabel.R . NMixRelabel.default.R . NMixRelabelAlgorithm.R . NMixSummComp.GLMM_MCMC.R . NMixSummComp.NMixMCMC.R . NMixSummComp.R . NMixSummComp.default.R . SP2Rect.R . Y2T.NMixPlugCondDensJoint2.R . Y2T.NMixPlugCondDensMarg.R . Y2T.NMixPlugDensJoint2.R . Y2T.NMixPlugDensMarg.R . Y2T.NMixPredCDFMarg.R . Y2T.NMixPredCondCDFMarg.R . Y2T.NMixPredCondDensJoint2.R . Y2T.NMixPredCondDensMarg.R . Y2T.NMixPredDensJoint2.R . Y2T.NMixPredDensMarg.R . Y2T.R . autolayout.R . cbplot.R . dMVN.R . dMVNmixture.R . dMVNmixture2.R . dMVT.R . dWISHART.R . fitted.GLMM_MCMC.R . generatePermutations.R . getProfiles.R . plot.NMixPlugCondDensJoint2.R . plot.NMixPlugCondDensMarg.R . plot.NMixPlugDensJoint2.R . plot.NMixPlugDensMarg.R . plot.NMixPredCDFMarg.R . plot.NMixPredCondCDFMarg.R . plot.NMixPredCondDensJoint2.R . plot.NMixPredCondDensMarg.R . plot.NMixPredDensJoint2.R . plot.NMixPredDensMarg.R . plotProfiles.R . print.GLMM_MCMC.R . print.GLMM_MCMClist.R . print.NMixEM.R . print.NMixMCMC.R . print.NMixMCMClist.R . rDirichlet.R . rMVN.R . rMVNmixture.R . rMVNmixture2.R . rMVT.R . rRotationMatrix.R . rSamplePair.R . rTMVN.R . rTNorm.R . rWISHART.R . rcMVN.R . summaryDiff.R . tracePlots.GLMM_MCMC.R . tracePlots.GLMM_MCMClist.R . tracePlots.NMixMCMC.R . tracePlots.NMixMCMClist.R . tracePlots.R . tracePlots.default.R . zzz.R .  Full mixAK package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gecko  
Geographical Ecology and Conservation Knowledge Online
Includes a collection of geographical analysis functions aimed primarily at ecology and conservation ...
Download / Learn more Package Citations See dependency  
gRim  
Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Grap ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA