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  "Package": "RGENERATEPREC",
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  "License": "GPL (>= 2)",
  "Title": "Tools to Generate Daily-Precipitation Time Series",
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  "Description": "The method 'generate()' is extended for spatial multi-site\nstochastic generation of daily precipitation. It generates\nprecipitation occurrence in several sites using logit\nregression (Generalized Linear Models) and the approach by D.S.\nWilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .",
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    "PrecipitationOccurrenceModel",
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      "title": "This function extends 'continuity_ratio' and adds the corresponding gaussian correlation matrix for no-precipitation occurrence.",
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      ]
    },
    {
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        "CCGammaToBlockmatrix"
      ]
    },
    {
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      "title": "It calculates dry/wet spell duration.",
      "topics": [
        "dw.spell"
      ]
    },
    {
      "page": "generate",
      "title": "Stochastic Generation of a 'PrecipitationOccurrenceModel' or 'PrecipitationOccurrenceMultiSiteModel' model object",
      "topics": [
        "generate",
        "generate.CCGammaObjectListPerEachMonth",
        "generate.PrecipitationAmountModel",
        "generate.PrecipitationOccurrenceModel",
        "generate.PrecipitationOccurrenceMultiSiteModel"
      ]
    },
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      ]
    },
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      ]
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        "omega_inv"
      ]
    },
    {
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      "title": "This is the target function whose zero is searched to crete the inverse function of 'omega'.",
      "topics": [
        "omega_root"
      ]
    },
    {
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      "title": "Creates a Precipitation Amount Model",
      "topics": [
        "PrecipitationAmountModel"
      ]
    },
    {
      "page": "PrecipitationOccurrenceModel",
      "title": "Precipitation Occurrence Model",
      "topics": [
        "PrecipitationOccurrenceModel"
      ]
    },
    {
      "page": "PrecipitationOccurrenceMultiSiteModel",
      "title": "Precipitation Occurrence Multi-Site Model",
      "topics": [
        "PrecipitationOccurrenceMultiSiteModel"
      ]
    },
    {
      "page": "predict",
      "title": "Prediction of a 'PrecipitationOccurrenceModel' model object",
      "topics": [
        "predict",
        "predict.PrecipitationAmountModel",
        "predict.PrecipitationOccurrenceModel",
        "predict.PrecipitationOccurrenceMultiSiteModel"
      ]
    }
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      "filename": "precipitation_stochastic_generation_v8.html",
      "title": "Stochastic Generation of Daily Precipitation Time Series",
      "author": "Emanuele Cordano",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Introduction",
        "Trentino Example Dataset",
        "Generation of Precipitation in One Station",
        "Occurrence",
        "Amount",
        "Comparison",
        "Generation of Precipitation in Several Stations",
        "Modifying Precipitation Distribution (e.g. Precipitation Futture Projection)",
        "Conclusions",
        "References"
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      "modified": "2022-01-18 11:21:12",
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