{
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  "Package": "mixvlmc",
  "Type": "Package",
  "Title": "Variable Length Markov Chains with Covariates",
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  "Authors@R": "c(person(given = \"Fabrice\",\nfamily = \"Rossi\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Fabrice.Rossi@apiacoa.org\",\ncomment = c(ORCID = \"0000-0003-4638-1286\")),\nperson(given = \"Hugo\",\nfamily = \"Le Picard\",\nrole = \"ctb\",\nemail = \"lepicardhugo@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7023-2996\")),\nperson(given = \"Guénolé\",\nfamily = \"Joubioux\",\nrole = \"ctb\",\nemail = \"guenole.joubioux@gmail.com\"))",
  "Description": "Estimates Variable Length Markov Chains (VLMC) models and\nVLMC with covariates models from discrete sequences. Supports\nmodel selection via information criteria and simulation of new\nsequences from an estimated model. See Bühlmann, P. and Wyner,\nA. J. (1999) <doi:10.1214/aos/1018031204> for VLMC and Zanin\nZambom, A., Kim, S. and Lopes Garcia, N. (2022)\n<doi:10.1111/jtsa.12615> for VLMC with covariates.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/fabrice-rossi/mixvlmc,\nhttps://fabrice-rossi.github.io/mixvlmc/",
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  "Repository": "https://fabrice-rossi.r-universe.dev",
  "Date/Publication": "2024-05-07 15:47:56 UTC",
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  "Author": "Fabrice Rossi [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-4638-1286>),\nHugo Le Picard [ctb] (ORCID: <https://orcid.org/0000-0002-7023-2996>),\nGuénolé Joubioux [ctb]",
  "Maintainer": "Fabrice Rossi <Fabrice.Rossi@apiacoa.org>",
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  "_created": "2026-06-03T08:51:56.000Z",
  "_published": "2026-06-03T09:17:23.645Z",
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    "message": "Fix coverage uploading (hopefully).\n",
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  "_topics": [
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    "markov-chain",
    "markov-model",
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    "time-series",
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.txt",
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    "manual.pdf"
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    "as_covlmc",
    "as_sequence",
    "as_vlmc",
    "charset_ascii",
    "charset_utf8",
    "children",
    "context_number",
    "contexts",
    "counts",
    "covariate_depth",
    "covariate_memory",
    "covlmc",
    "covlmc_control",
    "ctx_tree",
    "cutoff",
    "depth",
    "draw",
    "draw_control",
    "dts",
    "dts_data",
    "find_sequence",
    "is_context",
    "is_covlmc",
    "is_ctx_tree",
    "is_dts",
    "is_merged",
    "is_reversed",
    "is_vlmc",
    "loglikelihood",
    "merged_with",
    "metrics",
    "model",
    "parent",
    "positions",
    "prune",
    "states",
    "trim",
    "tune_covlmc",
    "tune_vlmc",
    "vlmc"
  ],
  "_datasets": [
    {
      "name": "globalearthquake",
      "title": "Significant Earthquake Dataset",
      "object": "globalearthquake",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date_time",
        "latitude",
        "longitude",
        "mag",
        "Date",
        "nbweeks",
        "year",
        "month",
        "month_day",
        "week",
        "week_day",
        "year_day"
      ],
      "rows": 98785,
      "table": true,
      "tojson": true
    },
    {
      "name": "powerconsumption",
      "title": "Individual household electric power consumption",
      "object": "powerconsumption",
      "class": [
        "data.frame"
      ],
      "fields": [
        "month",
        "month_day",
        "hour",
        "minute",
        "active_power",
        "reactive_power",
        "voltage",
        "intensity",
        "sub_metering_1",
        "sub_metering_2",
        "sub_metering_3",
        "week",
        "week_day",
        "year_day",
        "date_time"
      ],
      "rows": 52704,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "mixvlmc-package",
      "title": "mixvlmc: Variable Length Markov Chains with Covariates",
      "topics": [
        "mixvlmc-package",
        "mixvlmc"
      ]
    },
    {
      "page": "as_covlmc",
      "title": "Convert an object to a Variable Length Markov Chain with covariates (coVLMC)",
      "topics": [
        "as_covlmc",
        "as_covlmc.tune_covlmc"
      ]
    },
    {
      "page": "as_sequence",
      "title": "Extract the sequence encoded by a node",
      "topics": [
        "as_sequence"
      ]
    },
    {
      "page": "as_vlmc",
      "title": "Convert an object to a Variable Length Markov Chain (VLMC)",
      "topics": [
        "as_vlmc",
        "as_vlmc.ctx_tree",
        "as_vlmc.tune_vlmc"
      ]
    },
    {
      "page": "as_vlmc.ctx_tree_cpp",
      "title": "Convert an object to a Variable Length Markov Chain (VLMC)",
      "topics": [
        "as_vlmc.ctx_tree_cpp"
      ]
    },
    {
      "page": "autoplot.tune_covlmc",
      "title": "Create a complete ggplot for the results of automatic COVLMC complexity selection",
      "topics": [
        "autoplot.tune_covlmc"
      ]
    },
    {
      "page": "autoplot.tune_vlmc",
      "title": "Create a complete ggplot for the results of automatic VLMC complexity selection",
      "topics": [
        "autoplot.tune_vlmc"
      ]
    },
    {
      "page": "charset_ascii",
      "title": "ASCII character set for context tree text representation",
      "topics": [
        "charset_ascii"
      ]
    },
    {
      "page": "charset_utf8",
      "title": "UTF-8 character set for context tree text representation",
      "topics": [
        "charset_utf8"
      ]
    },
    {
      "page": "children",
      "title": "Find the children nodes of a node in a context tree",
      "topics": [
        "children",
        "children.ctx_node",
        "children.ctx_node_cpp"
      ]
    },
    {
      "page": "context_number",
      "title": "Number of contexts of a context tree",
      "topics": [
        "context_number"
      ]
    },
    {
      "page": "context_number.covlmc",
      "title": "Contexts number of a VLMC with covariates",
      "topics": [
        "context_number.covlmc"
      ]
    },
    {
      "page": "contexts",
      "title": "Contexts of a context tree",
      "topics": [
        "contexts"
      ]
    },
    {
      "page": "contexts.covlmc",
      "title": "Contexts of a VLMC with covariates",
      "topics": [
        "contexts.covlmc"
      ]
    },
    {
      "page": "contexts.ctx_tree",
      "title": "Contexts of a context tree",
      "topics": [
        "contexts.ctx_tree",
        "contexts.ctx_tree_cpp"
      ]
    },
    {
      "page": "contexts.vlmc",
      "title": "Contexts of a VLMC",
      "topics": [
        "contexts.vlmc",
        "contexts.vlmc_cpp"
      ]
    },
    {
      "page": "counts",
      "title": "Report the distribution of values that follow occurrences of a sequence",
      "topics": [
        "counts",
        "counts.ctx_node",
        "counts.ctx_node_cpp"
      ]
    },
    {
      "page": "covariate_depth",
      "title": "Maximal covariate memory of a VLMC with covariates",
      "topics": [
        "covariate_depth"
      ]
    },
    {
      "page": "covariate_memory",
      "title": "Covariate memory length for a COVLMC context",
      "topics": [
        "covariate_memory"
      ]
    },
    {
      "page": "covlmc",
      "title": "Fit a Variable Length Markov Chain with Covariates (coVLMC)",
      "topics": [
        "covlmc"
      ]
    },
    {
      "page": "covlmc_control",
      "title": "Control for coVLMC fitting",
      "topics": [
        "covlmc_control"
      ]
    },
    {
      "page": "covlmc.default",
      "title": "Fit a Variable Length Markov Chain with Covariates (coVLMC)",
      "topics": [
        "covlmc.default"
      ]
    },
    {
      "page": "covlmc.dts",
      "title": "Fit a Variable Length Markov Chain with Covariates (coVLMC)",
      "topics": [
        "covlmc.dts"
      ]
    },
    {
      "page": "ctx_tree",
      "title": "Build a context tree for a discrete time series",
      "topics": [
        "ctx_tree"
      ]
    },
    {
      "page": "ctx_tree.default",
      "title": "Build a context tree for a discrete time series",
      "topics": [
        "ctx_tree.default"
      ]
    },
    {
      "page": "ctx_tree.dts",
      "title": "Build a context tree for a discrete time series",
      "topics": [
        "ctx_tree.dts"
      ]
    },
    {
      "page": "cutoff",
      "title": "Cut off values for VLMC like model",
      "topics": [
        "cutoff"
      ]
    },
    {
      "page": "cutoff.covlmc",
      "title": "Cut off values for pruning the context tree of a VLMC with covariates",
      "topics": [
        "cutoff.covlmc"
      ]
    },
    {
      "page": "cutoff.ctx_node",
      "title": "Cut off value for pruning a node in the context tree of a VLMC",
      "topics": [
        "cutoff.ctx_node"
      ]
    },
    {
      "page": "cutoff.vlmc",
      "title": "Cut off values for pruning the context tree of a VLMC",
      "topics": [
        "cutoff.vlmc",
        "cutoff.vlmc_cpp"
      ]
    },
    {
      "page": "depth",
      "title": "Depth of a context tree",
      "topics": [
        "depth"
      ]
    },
    {
      "page": "draw",
      "title": "Text based representation of a context tree",
      "topics": [
        "draw"
      ]
    },
    {
      "page": "draw_control",
      "title": "Control parameters for 'draw'",
      "topics": [
        "draw_control"
      ]
    },
    {
      "page": "draw.covlmc",
      "title": "Text based representation of a covlmc model",
      "topics": [
        "draw.covlmc"
      ]
    },
    {
      "page": "draw.ctx_tree",
      "title": "Text based representation of a context tree",
      "topics": [
        "draw.ctx_tree",
        "draw.ctx_tree_cpp"
      ]
    },
    {
      "page": "draw.vlmc",
      "title": "Text based representation of a vlmc",
      "topics": [
        "draw.vlmc",
        "draw.vlmc_cpp"
      ]
    },
    {
      "page": "dts",
      "title": "Convert a vector to a discrete time series.",
      "topics": [
        "dts"
      ]
    },
    {
      "page": "dts_data",
      "title": "Extract the plain discrete time series from a dts object",
      "topics": [
        "dts_data"
      ]
    },
    {
      "page": "find_sequence",
      "title": "Find the node of a sequence in a context tree",
      "topics": [
        "find_sequence",
        "find_sequence.ctx_tree",
        "find_sequence.ctx_tree_cpp"
      ]
    },
    {
      "page": "find_sequence.covlmc",
      "title": "Find the node of a sequence in a COVLMC context tree",
      "topics": [
        "find_sequence.covlmc"
      ]
    },
    {
      "page": "globalearthquake",
      "title": "Significant Earthquake Dataset",
      "topics": [
        "globalearthquake"
      ]
    },
    {
      "page": "is_context",
      "title": "Report the nature of a node in a context tree",
      "topics": [
        "is_context"
      ]
    },
    {
      "page": "is_covlmc",
      "title": "Test if the object is a covlmc model",
      "topics": [
        "is_covlmc"
      ]
    },
    {
      "page": "is_ctx_tree",
      "title": "Test if the object is a context tree",
      "topics": [
        "is_ctx_tree"
      ]
    },
    {
      "page": "is_dts",
      "title": "Test if the object is a discrete time series",
      "topics": [
        "is_dts"
      ]
    },
    {
      "page": "is_merged",
      "title": "Merging status of a COVLMC context",
      "topics": [
        "is_merged"
      ]
    },
    {
      "page": "is_reversed",
      "title": "Report the ordering convention of the node",
      "topics": [
        "is_reversed"
      ]
    },
    {
      "page": "is_vlmc",
      "title": "Test if the object is a vlmc model",
      "topics": [
        "is_vlmc"
      ]
    },
    {
      "page": "logLik.covlmc",
      "title": "Log-Likelihood of a VLMC with covariates",
      "topics": [
        "logLik.covlmc"
      ]
    },
    {
      "page": "logLik.vlmc",
      "title": "Log-Likelihood of a VLMC",
      "topics": [
        "logLik.vlmc",
        "logLik.vlmc_cpp"
      ]
    },
    {
      "page": "loglikelihood",
      "title": "Log-Likelihood of a VLMC",
      "topics": [
        "loglikelihood",
        "loglikelihood.vlmc",
        "loglikelihood.vlmc_cpp"
      ]
    },
    {
      "page": "loglikelihood.covlmc",
      "title": "Log-Likelihood of a VLMC with covariates",
      "topics": [
        "loglikelihood.covlmc"
      ]
    },
    {
      "page": "merged_with",
      "title": "Merged contexts in a COVLMC",
      "topics": [
        "merged_with"
      ]
    },
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      "page": "metrics",
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