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  "Title": "Weighted Regression for Water Quality Evaluation in Tidal Waters",
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    "winsrch_grid",
    "winsrch_optim",
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    "wrtdscv",
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    "wrtdsrsd",
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    "wrtdstrnd_sk",
    "wtsplot"
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        "res",
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        "lim"
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      "object": "daydat",
      "class": [
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      ],
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        "flo",
        "lnres",
        "Q",
        "lnQ",
        "jday",
        "year",
        "day",
        "dec_time"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "tidfit",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object",
      "object": "tidfit",
      "class": [
        "tidal",
        "data.frame"
      ],
      "fields": [
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        "res",
        "flo",
        "lim",
        "not_cens",
        "day_num",
        "month",
        "year",
        "dec_time",
        "fit0.1",
        "fit0.5",
        "fit0.9",
        "norm0.1",
        "norm0.5",
        "norm0.9"
      ],
      "rows": 452,
      "table": true,
      "tojson": true
    },
    {
      "name": "tidfitmean",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object for the conditional mean model",
      "object": "tidfitmean",
      "class": [
        "tidalmean",
        "data.frame"
      ],
      "fields": [
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        "res",
        "flo",
        "lim",
        "not_cens",
        "day_num",
        "month",
        "year",
        "dec_time",
        "fits",
        "bt_fits",
        "norm",
        "bt_norm"
      ],
      "rows": 452,
      "table": true,
      "tojson": true
    },
    {
      "name": "tidobj",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object",
      "object": "tidobj",
      "class": [
        "tidal",
        "data.frame"
      ],
      "fields": [
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        "res",
        "flo",
        "lim",
        "not_cens",
        "day_num",
        "month",
        "year",
        "dec_time"
      ],
      "rows": 452,
      "table": true,
      "tojson": true
    },
    {
      "name": "tidobjmean",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object, conditional mean model",
      "object": "tidobjmean",
      "class": [
        "tidalmean",
        "data.frame"
      ],
      "fields": [
        "date",
        "res",
        "flo",
        "lim",
        "not_cens",
        "day_num",
        "month",
        "year",
        "dec_time"
      ],
      "rows": 452,
      "table": true,
      "tojson": true
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  "_help": [
    {
      "page": "aiccrq",
      "title": "Akaike's Information Criterion for weighted quantile regression",
      "topics": [
        "aiccrq"
      ]
    },
    {
      "page": "all_sims",
      "title": "Simulate a response variable time series using all functions",
      "topics": [
        "all_sims"
      ]
    },
    {
      "page": "annual_agg",
      "title": "Create annual aggregations of WRTDS output",
      "topics": [
        "annual_agg",
        "annual_agg.default"
      ]
    },
    {
      "page": "chldat",
      "title": "Monthly chlorophyll time series for Hillsborough Bay",
      "topics": [
        "chldat"
      ]
    },
    {
      "page": "chllab",
      "title": "Chlorophyll axis label",
      "topics": [
        "chllab"
      ]
    },
    {
      "page": "chngest",
      "title": "Get trend for a single time period",
      "topics": [
        "chngest"
      ]
    },
    {
      "page": "createsrch",
      "title": "Create a grid of half-window widths to evaluate",
      "topics": [
        "createsrch"
      ]
    },
    {
      "page": "daydat",
      "title": "Daily chlorophyll, salinity, and discharge time series for the Upper Patuxent River Estuary",
      "topics": [
        "daydat"
      ]
    },
    {
      "page": "dec_time",
      "title": "Create decimal time from time vector",
      "topics": [
        "dec_time",
        "dec_time.Date"
      ]
    },
    {
      "page": "dynaplot",
      "title": "Plot model response to salinity or flow as a lineplot for all months",
      "topics": [
        "dynaplot",
        "dynaplot.tidal",
        "dynaplot.tidalmean"
      ]
    },
    {
      "page": "fill_grd",
      "title": "Add date columns and fill missing values in the interpolation grids",
      "topics": [
        "fill_grd"
      ]
    },
    {
      "page": "fillpo",
      "title": "Fill the 'predonobs' attribute",
      "topics": [
        "fillpo",
        "fillpo.tidal",
        "fillpo.tidalmean"
      ]
    },
    {
      "page": "fitmoplot",
      "title": "Plot the fitted results for a tidal object by month",
      "topics": [
        "fitmoplot",
        "fitmoplot.tidal",
        "fitmoplot.tidalmean"
      ]
    },
    {
      "page": "fitplot",
      "title": "Plot the fitted results for a tidal object",
      "topics": [
        "fitplot",
        "fitplot.tidal",
        "fitplot.tidalmean"
      ]
    },
    {
      "page": "getwts",
      "title": "Get weights for regression",
      "topics": [
        "getwts",
        "getwts.default"
      ]
    },
    {
      "page": "goodfit",
      "title": "Quantile regression goodness of fit",
      "topics": [
        "goodfit"
      ]
    },
    {
      "page": "gradcols",
      "title": "Get colors for plots",
      "topics": [
        "gradcols"
      ]
    },
    {
      "page": "gridplot",
      "title": "Plot variable response to salinity/flow as a gridded surface for all months",
      "topics": [
        "gridplot",
        "gridplot.tidal",
        "gridplot.tidalmean"
      ]
    },
    {
      "page": "kendallSeasonalTrendTest",
      "title": "Kendall seasonal trend test",
      "topics": [
        "kendallSeasonalTrendTest",
        "kendallSeasonalTrendTest.data.frame",
        "kendallSeasonalTrendTest.default",
        "kendallSeasonalTrendTest.formula",
        "kendallSeasonalTrendTest.matrix"
      ]
    },
    {
      "page": "kendallTrendTest",
      "title": "Kendall trend test",
      "topics": [
        "kendallTrendTest",
        "kendallTrendTest.default",
        "kendallTrendTest.formula"
      ]
    },
    {
      "page": "lnQ_sim",
      "title": "Simulate a discharge time series",
      "topics": [
        "lnQ_sim"
      ]
    },
    {
      "page": "lnres_err",
      "title": "Simulate random errors from a time series",
      "topics": [
        "lnres_err"
      ]
    },
    {
      "page": "lnres_sim",
      "title": "Simulate a water quality time series",
      "topics": [
        "lnres_sim"
      ]
    },
    {
      "page": "modfit",
      "title": "Fit weighted regression and get predicted/normalized response variable",
      "topics": [
        "modfit",
        "modfit.data.frame",
        "modfit.default",
        "modfit.tidal",
        "modfit.tidalmean"
      ]
    },
    {
      "page": "nobsplot",
      "title": "Plot number of observations in a WRTDS interpolation grid",
      "topics": [
        "nobsplot",
        "nobsplot.default",
        "nobsplot.tidal",
        "nobsplot.tidalmean"
      ]
    },
    {
      "page": "obsplot",
      "title": "Plot observed response variable and salinity/flow data",
      "topics": [
        "obsplot",
        "obsplot.default",
        "obsplot.tidal",
        "obsplot.tidalmean"
      ]
    },
    {
      "page": "prdnrmplot",
      "title": "Plot combined predicted and normalized results from a tidal object",
      "topics": [
        "prdnrmplot",
        "prdnrmplot.tidal",
        "prdnrmplot.tidalmean"
      ]
    },
    {
      "page": "resnorm",
      "title": "Get salinity/flow normalized WRTDS predictions from interpolation grids",
      "topics": [
        "resnorm",
        "resnorm.tidal",
        "resnorm.tidalmean"
      ]
    },
    {
      "page": "respred",
      "title": "Get WRTDS predictions from interpolation grids",
      "topics": [
        "respred",
        "respred.tidal",
        "respred.tidalmean"
      ]
    },
    {
      "page": "resscls",
      "title": "Get the scale parameters for predicted values",
      "topics": [
        "resscls",
        "resscls.tidalmean"
      ]
    },
    {
      "page": "samp_sim",
      "title": "Sample a daily time series at a set frequency",
      "topics": [
        "samp_sim"
      ]
    },
    {
      "page": "seasplot",
      "title": "Plot seasonal trends across all years",
      "topics": [
        "seasplot",
        "seasplot.tidal",
        "seasplot.tidalmean"
      ]
    },
    {
      "page": "seasyrplot",
      "title": "Plot seasonal model response by years",
      "topics": [
        "seasyrplot",
        "seasyrplot.tidal",
        "seasyrplot.tidalmean"
      ]
    },
    {
      "page": "sliceplot",
      "title": "Plot time slices within a tidal object",
      "topics": [
        "sliceplot",
        "sliceplot.tidal",
        "sliceplot.tidalmean"
      ]
    },
    {
      "page": "tidal",
      "title": "Create a tidal class object",
      "topics": [
        "tidal"
      ]
    },
    {
      "page": "tidalmean",
      "title": "Create a tidalmean class object",
      "topics": [
        "tidalmean"
      ]
    },
    {
      "page": "tidfit",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object",
      "topics": [
        "tidfit"
      ]
    },
    {
      "page": "tidfitmean",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object for the conditional mean model",
      "topics": [
        "tidfitmean"
      ]
    },
    {
      "page": "tidobj",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object",
      "topics": [
        "tidobj"
      ]
    },
    {
      "page": "tidobjmean",
      "title": "Monthly chlorophyll time series for Hillsborough Bay as a tidal object, conditional mean model",
      "topics": [
        "tidobjmean"
      ]
    },
    {
      "page": "winsrch_constrOptim",
      "title": "Find the optimal half-window width combination",
      "topics": [
        "winsrch_constrOptim",
        "winsrch_constrOptim.default"
      ]
    },
    {
      "page": "winsrch_grid",
      "title": "Evaluate half-window width combinations",
      "topics": [
        "winsrch_grid",
        "winsrch_grid.default"
      ]
    },
    {
      "page": "winsrch_optim",
      "title": "Find the optimal half-window width combination",
      "topics": [
        "winsrch_optim",
        "winsrch_optim.default"
      ]
    },
    {
      "page": "wrtds",
      "title": "Get WRTDS prediction grid",
      "topics": [
        "wrtds",
        "wrtds.tidal",
        "wrtds.tidalmean"
      ]
    },
    {
      "page": "wrtdscv",
      "title": "Use k-fold cross-validation to evaluate WRTDS model fit",
      "topics": [
        "wrtdscv",
        "wrtdscv.default"
      ]
    },
    {
      "page": "wrtdsperf",
      "title": "Get WRTDS performance metrics",
      "topics": [
        "wrtdsperf",
        "wrtdsperf.tidal",
        "wrtdsperf.tidalmean"
      ]
    },
    {
      "page": "wrtdsrsd",
      "title": "Get WRTDS residuals",
      "topics": [
        "wrtdsrsd",
        "wrtdsrsd.tidal",
        "wrtdsrsd.tidalmean"
      ]
    },
    {
      "page": "wrtdstrnd",
      "title": "Get WRTDS trends",
      "topics": [
        "wrtdstrnd",
        "wrtdstrnd.default",
        "wrtdstrnd.tidal",
        "wrtdstrnd.tidalmean"
      ]
    },
    {
      "page": "wrtdstrnd_sk",
      "title": "Get WRTDS trends using seasonal Kendall tests",
      "topics": [
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        "wrtdstrnd_sk.default",
        "wrtdstrnd_sk.tidal",
        "wrtdstrnd_sk.tidalmean"
      ]
    },
    {
      "page": "wtsplot",
      "title": "Plot the weights for an observation",
      "topics": [
        "wtsplot",
        "wtsplot.default",
        "wtsplot.tidal",
        "wtsplot.tidalmean"
      ]
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