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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. The package is primarily related to the publications Komárek (2009, Comp. Stat. and Data Anal.) <doi:10.1016/j.csda.2009.05.006> and Komárek and Komárková (2014, J. of Stat. Soft.) <doi:10.18637/jss.v059.i12>. It also implements methods published in Komárek and Komárková (2013, Ann. of Appl. Stat.) <doi:10.1214/12-AOAS580>, Hughes, Komárek, Bonnett, Czanner, García-Fiñana (2017, Stat. in Med.) <doi:10.1002/sim.7397>, Jaspers, Komárek, Aerts (2018, Biom. J.) <doi:10.1002/bimj.201600253> and Hughes, Komárek, Czanner, García-Fiñana (2018, Stat. Meth. in Med. Res) <doi:10.1177/0962280216674496>.
Version: | 5.8 |
Depends: | R (≥ 3.0.0), colorspace, lme4 (≥ 1.0) |
Imports: | graphics, stats, methods, splines, fastGHQuad, mnormt, parallel, coda |
Suggests: | mvtnorm |
Published: | 2024-09-16 |
DOI: | 10.32614/CRAN.package.mixAK |
Author: | Arnošt Komárek [aut, cre] |
Maintainer: | Arnošt Komárek <arnost.komarek at mff.cuni.cz> |
License: | GPL (≥ 3) |
URL: | https://msekce.karlin.mff.cuni.cz/~komarek/ |
NeedsCompilation: | yes |
Citation: | mixAK citation info |
Materials: | NEWS |
In views: | Cluster, Survival |
CRAN checks: | mixAK results |
Reference manual: | mixAK.pdf |
Package source: | mixAK_5.8.tar.gz |
Windows binaries: | r-devel: mixAK_5.8.zip, r-release: mixAK_5.8.zip, r-oldrel: mixAK_5.8.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Old sources: | mixAK archive |
Reverse imports: | BCClong, opGMMassessment |
Reverse suggests: | icensBKL, latrend, miscF |
Please use the canonical form https://CRAN.R-project.org/package=mixAK to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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