{ "_id": "6a103936acfb0bcc41c9ad2c", "Package": "mixAK", "Version": "5.8", "Date": "2024-09-16", "Title": "Multivariate Normal Mixture Models and Mixtures of Generalized\nLinear Mixed Models Including Model Based Clustering", "Authors@R": "person(given = \"Arnošt\", family = \"Komárek\", role = c(\"aut\", \"cre\"), email = \"arnost.komarek@mff.cuni.cz\", comment = c(ORCID = \"0000-0001-8778-3762\"))", "Description": "Contains a mixture of statistical methods including the\nMCMC methods to analyze normal mixtures. Additionally, model\nbased clustering methods are implemented to perform\nclassification based on (multivariate) longitudinal (or\notherwise correlated) data. The basis for such clustering is a\nmixture of multivariate generalized linear mixed models. The\npackage is primarily related to the publications Komárek (2009,\nComp. Stat. and Data Anal.) \nand Komárek and Komárková (2014, J. of Stat. Soft.)\n. It also implements methods\npublished in Komárek and Komárková (2013, Ann. of Appl. Stat.)\n, Hughes, Komárek, Bonnett, Czanner,\nGarcía-Fiñana (2017, Stat. in Med.) ,\nJaspers, Komárek, Aerts (2018, Biom. J.)\n and Hughes, Komárek, Czanner,\nGarcía-Fiñana (2018, Stat. Meth. in Med. Res)\n.", "Encoding": "UTF-8", "License": "GPL (>= 3)", "URL": "https://msekce.karlin.mff.cuni.cz/~komarek/", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-12 05:39:12 UTC", "User": "root" }, "Author": "Arnošt Komárek [aut, cre]\n()", "Maintainer": "Arnošt Komárek ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-09-17 02:33:53 UTC", "RemoteUrl": "https://github.com/cran/mixAK", "RemoteRef": "HEAD", "RemoteSha": "a50c3065b91ebea8ae610c1694521f84ac2d04db", "MD5sum": "28e550a85429409a2d9ee7781a0002c7", "_user": "cran", "_type": "src", "_file": "mixAK_5.8.tar.gz", "_fileid": "ef6894610e6047c0eb41611d7ae5524fc604a5f7c2997f064d4cda2b2858c6ae", "_filesize": 1415012, "_sha256": "ef6894610e6047c0eb41611d7ae5524fc604a5f7c2997f064d4cda2b2858c6ae", "_created": "2026-05-12T05:39:12.000Z", "_published": "2026-05-22T11:08:38.527Z", "_distro": "noble", "_jobs": [ { "job": 77367551253, "time": 176, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", 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"NMixPlugDensJoint2.GLMM_MCMC", "NMixPlugDensJoint2.NMixMCMC" ] }, { "page": "NMixPlugDensMarg", "title": "Marginal (univariate) densities: plug-in estimate", "topics": [ "NMixPlugDensMarg", "NMixPlugDensMarg.default", "NMixPlugDensMarg.GLMM_MCMC", "NMixPlugDensMarg.NMixMCMC" ] }, { "page": "NMixPredCDFMarg", "title": "Marginal (univariate) predictive cumulative distribution function", "topics": [ "C_NMix_PredCDFMarg", "NMixPredCDFMarg", "NMixPredCDFMarg.default", "NMixPredCDFMarg.GLMM_MCMC", "NMixPredCDFMarg.NMixMCMC" ] }, { "page": "NMixPredCondCDFMarg", "title": "Univariate conditional predictive cumulative distribution function", "topics": [ "NMixPredCondCDFMarg", "NMixPredCondCDFMarg.default", "NMixPredCondCDFMarg.GLMM_MCMC", "NMixPredCondCDFMarg.NMixMCMC" ] }, { "page": "NMixPredCondDensJoint2", "title": "Pairwise bivariate conditional predictive densities", "topics": [ "C_NMix_PredCondDensJoint2", "NMixPredCondDensJoint2", "NMixPredCondDensJoint2.default", "NMixPredCondDensJoint2.GLMM_MCMC", "NMixPredCondDensJoint2.NMixMCMC" ] }, { "page": "NMixPredCondDensMarg", "title": "Univariate conditional predictive density", "topics": [ "C_NMix_PredCondDensCDFMarg", "NMixPredCondDensMarg", "NMixPredCondDensMarg.default", "NMixPredCondDensMarg.GLMM_MCMC", "NMixPredCondDensMarg.NMixMCMC" ] }, { "page": "NMixPredDA", "title": "Discriminant analysis based on MCMC output from the mixture model", "topics": [ "C_NMix_PredDA", "NMixPredDA" ] }, { "page": "NMixPredDensJoint2", "title": "Pairwise bivariate predictive density", "topics": [ "C_NMix_PredDensJoint2", "NMixPredDensJoint2", "NMixPredDensJoint2.default", "NMixPredDensJoint2.GLMM_MCMC", "NMixPredDensJoint2.NMixMCMC" ] }, { "page": "NMixPredDensMarg", "title": "Marginal (univariate) predictive density", "topics": [ "C_NMix_PredDensMarg", "NMixPredDensMarg", "NMixPredDensMarg.default", "NMixPredDensMarg.GLMM_MCMC", "NMixPredDensMarg.NMixMCMC" ] }, { "page": "NMixPseudoGOF", "title": "Pseudo goodness-of-fit test for a normal mixture model", "topics": [ "NMixPseudoGOF", "NMixPseudoGOF.default", "NMixPseudoGOF.NMixMCMC" ] }, { "page": "NMixRelabel", "title": "Re-labeling the MCMC output of the mixture model", "topics": [ "C_GLMM_NMixRelabel", "C_NMix_NMixRelabel", "NMixRelabel", "NMixRelabel.default", "NMixRelabel.GLMM_MCMC", "NMixRelabel.GLMM_MCMClist", "NMixRelabel.NMixMCMC", "NMixRelabel.NMixMCMClist" ] }, { "page": "NMixSummComp", "title": "Summary for the mixture components", "topics": [ "NMixSummComp", "NMixSummComp.default", "NMixSummComp.GLMM_MCMC", "NMixSummComp.NMixMCMC" ] }, { "page": "PBC910", "title": "Subset of Mayo Clinic Primary Biliary Cholangitis (Cirrhosis) data", "topics": [ "PBC910" ] }, { "page": "PBCseq", "title": "Mayo Clinic Primary Biliary Cholangitis (Cirrhosis), sequential data", "topics": [ "PBCseq" ] }, { "page": "plot.NMixPlugCondDensJoint2", "title": "Plot computed pairwise bivariate conditional densities (plug-in estimate)", "topics": [ "plot.NMixPlugCondDensJoint2" ] }, { "page": "plot.NMixPlugCondDensMarg", "title": "Plot computed univariate conditional densities (plug-in estimate)", "topics": [ "plot.NMixPlugCondDensMarg" ] }, { "page": "plot.NMixPlugDensJoint2", "title": "Plot computed marginal pairwise bivariate densities (plug-in estimate)", "topics": [ "plot.NMixPlugDensJoint2" ] }, { "page": "plot.NMixPlugDensMarg", "title": "Plot computed marginal predictive densities", "topics": [ "plot.NMixPlugDensMarg" ] }, { "page": "plot.NMixPredCDFMarg", "title": "Plot computed marginal predictive cumulative distribution functions", "topics": [ "plot.NMixPredCDFMarg" ] }, { "page": "plot.NMixPredCondCDFMarg", "title": "Plot computed univariate conditional predictive cumulative distribution functions", "topics": [ "plot.NMixPredCondCDFMarg" ] }, { "page": "plot.NMixPredCondDensJoint2", "title": "Plot computed predictive pairwise bivariate conditional densities", "topics": [ "plot.NMixPredCondDensJoint2" ] }, { "page": "plot.NMixPredCondDensMarg", "title": "Plot computed univariate conditional predictive densities", "topics": [ "plot.NMixPredCondDensMarg" ] }, { "page": "plot.NMixPredDensJoint2", "title": "Plot computed marginal pairwise bivariate predictive densities", "topics": [ "plot.NMixPredDensJoint2" ] }, { "page": "plot.NMixPredDensMarg", "title": "Plot computed marginal predictive densities", "topics": [ "plot.NMixPredDensMarg" ] }, { "page": "plotProfiles", "title": "Plot individual longitudinal profiles", "topics": [ "plotProfiles" ] }, { "page": "rRotationMatrix", "title": "Random rotation matrix", "topics": [ "C_RotationMatrix_R", "rRotationMatrix" ] }, { "page": "rSamplePair", "title": "Sample a pair (with replacement)", "topics": [ "C_SamplePair_R", "rSamplePair" ] }, { "page": "SimData", "title": "Simulated dataset", "topics": [ "SimData" ] }, { "page": "SP2Rect", "title": "Conversion of a symmetric matrix stored in a packed format (lower triangle only) into a matrix", "topics": [ 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