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  "Date": "2026-08-24",
  "Title": "Dependent Mixture Models - Hidden Markov Models of GLMs and\nOther Distributions in S4",
  "Authors@R": "c(person(given = \"Ingmar\",\nfamily = \"Visser\",\nrole = c(\"aut\", \"cre\"),\nemail = \"i.visser@uva.nl\"),\nperson(given = \"Maarten\",\nfamily = \"Speekenbrink\",\nrole = \"aut\",\nemail = \"m.speekenbrink@ucl.ac.uk\"))",
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  "Description": "Fits latent (hidden) Markov models on mixed categorical\nand continuous (time series) data, otherwise known as dependent\nmixture models, see Visser & Speekenbrink (2010,\n<doi:10.18637/jss.v036.i07>).",
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  "Author": "Ingmar Visser [aut, cre], Maarten Speekenbrink [aut]",
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    "setpars",
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    "standardError",
    "stationary",
    "summary",
    "transInit",
    "vcov",
    "viterbi"
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      "title": "depmixS4 provides classes for specifying and fitting hidden Markov models",
      "topics": [
        "depmixS4-package",
        "depmixS4"
      ]
    },
    {
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      "title": "Balance Scale Data",
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      "topics": [
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        "depmix,ANY-method",
        "show",
        "show,depmix-method",
        "summary",
        "summary,depmix-method"
      ]
    },
    {
      "page": "depmix-class",
      "title": "Class \"depmix\"",
      "topics": [
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        "nresp",
        "nresp,depmix-method",
        "nstates",
        "nstates,depmix-method",
        "ntimes",
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      "title": "'depmix' and 'mix' methods.",
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        "freepars",
        "freepars,depmix-method",
        "freepars,depmix.fitted-method",
        "freepars,mix-method",
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        "setpars",
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      "title": "Class \"depmix.fitted\" (and \"depmix.fitted.classLik\")",
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        "depmix.fitted-class",
        "depmix.fitted.classLik",
        "depmix.fitted.classLik-class"
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      "title": "Class \"depmix.sim\"",
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        "nresp,depmix.sim-method",
        "nstates,depmix.sim-method",
        "ntimes,depmix.sim-method"
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        "fit,mix-method",
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        "forwardbackward,mix-method"
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        "getdf,response-method",
        "GLMresponse",
        "GLMresponse,formula-method",
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        "show,llratio-method"
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        "mix,ANY-method",
        "show,mix-method",
        "summary,mix-method"
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        "nstates,mix-method",
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        "mix.fitted.classLik-class"
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      "title": "Class \"mix.sim\"",
      "topics": [
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        "mix.sim-class",
        "nresp,mix.sim-method",
        "nstates,mix.sim-method",
        "ntimes,mix.sim-method"
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      "page": "multistart",
      "title": "Methods to fit a (dep-)mix model using multiple sets of starting values",
      "topics": [
        "multistart",
        "multistart,depmix-method",
        "multistart,mix-method"
      ]
    },
    {
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      "title": "Posterior state/class probabilities and classification",
      "topics": [
        "posterior",
        "posterior,depmix-method",
        "posterior,depmix.fitted-method",
        "posterior,mix-method",
        "posterior,mix.fitted-method"
      ]
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      "page": "response-class",
      "title": "Class \"response\"",
      "topics": [
        "response-class"
      ]
    },
    {
      "page": "response-classes",
      "title": "Class \"GLMresponse\" and class \"transInit\"",
      "topics": [
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        "MVNresponse-class",
        "response-classes",
        "transInit-class"
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      "page": "responses",
      "title": "Response models currently implemented in depmix.",
      "topics": [
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        "GAMMAresponse",
        "MULTINOMresponse",
        "MVNresponse",
        "NORMresponse",
        "POISSONresponse",
        "responses",
        "show,MVNresponse-method"
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      "title": "Methods to simulate from (dep-)mix models",
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        "simulate,depmix-method",
        "simulate,GAMMAresponse-method",
        "simulate,GLMresponse-method",
        "simulate,mix-method",
        "simulate,MULTINOMresponse-method",
        "simulate,MVNresponse-method",
        "simulate,NORMresponse-method",
        "simulate,POISSONresponse-method",
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      "page": "speed",
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    {
      "page": "stationary",
      "title": "Compute the stationary distribution of a transition probability matrix.",
      "topics": [
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    },
    {
      "page": "transInit",
      "title": "Methods for creating depmix transition and initial probability models",
      "topics": [
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        "transInit",
        "transInit,formula-method"
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      "page": "vcov",
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        "hessian",
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        "standardError",
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      "page": "viterbi",
      "title": "Viterbi algorithm for decoding the most likely state sequence",
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        "viterbi2"
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