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 16 Jul. 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

Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
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  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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