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 26 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

MARSS  
Multivariate Autoregressive State-Space Modeling
The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstraine ...
Download / Learn more Package Citations See dependency  
rts2  
Log-Gaussian Cox Process Models with Approximations
Supports modelling real-time case data to facilitate the real-time surveillance of infectious disea ...
Download / Learn more Package Citations See dependency  
LSDsensitivity  
Sensitivity Analysis Tools for 'LSD' Simulations
Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD ...
Download / Learn more Package Citations See dependency  
SADEG  
Stability Analysis in Differentially Expressed Genes
We analyzed the nucleotide composition of genes with a special emphasis on stability of DNA sequence ...
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  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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