{
  "_id": "6a1800d7acfb0bcc41dabd36",
  "Package": "HyMETT",
  "Type": "Package",
  "Title": "Hydrologic Model Evaluation and Time-Series Tools",
  "Version": "1.1.3",
  "Date": "2024-08-26",
  "Authors@R": "c(\nperson(family = \"Penn\",\ngiven = \"Colin\",\nrole = c(\"aut\",\"cre\"),\nemail = \"cpenn@usgs.gov\",\ncomment = c(ORCID = \"0000-0002-5195-2744\")),\nperson(family = \"Simeone\",\ngiven = \"Caelan\",\nrole = c(\"aut\"),\nemail = \"csimeone@usgs.gov\",\ncomment = c(ORCID = \"0000-0003-3263-6452\")),\nperson(family = \"Levin\",\ngiven = \"Sara\",\nrole = c(\"aut\"),\nemail = \"slevin@usgs.gov\",\ncomment = c(ORCID = \"0000-0002-2448-3129\")),\nperson(family = \"Saxe\",\ngiven = \"Samuel\",\nrole = c(\"aut\"),\nemail = \"ssaxe@usgs.gov\",\ncomment = c(ORCID = \"0000-0003-1151-8908\")),\nperson(family = \"Foks\",\ngiven = \"Sydney\",\nrole = c(\"aut\"),\nemail = \"sfoks@usgs.gov\",\ncomment = c(ORCID = \"0000-0002-7668-9735\")),\nperson(family = \"Dudley\",\ngiven = \"Robert\",\nrole = c(\"dtc\"),\nemail = \"rwdudley@usgs.gov\",\ncomment = c(ORCID = \"0000-0002-0934-0568\")),\nperson(family = \"Hodgkins\",\ngiven = \"Glenn\",\nrole = c(\"dtc\"),\nemail = \"gahodgki@usgs.gov\",\ncomment = c(ORCID = \"0000-0002-4916-5565\")),\nperson(family = \"Hodson\",\ngiven = \"Timothy\",\nrole = c(\"aut\"),\nemail = \"thodson@usgs.gov\",\ncomment = c(ORCID = \"0000-0003-0962-5130\")),\nperson(family = \"Over\",\ngiven = \"Thomas\",\nrole = c(\"dtc\"),\nemail = \"tmover@usgs.gov\",\ncomment = c(ORCID = \"0000-0001-8280-4368\")),\nperson(family = \"Russell\",\ngiven = \"Amy\",\nrole = c(\"dtc\"),\nemail = \"arussell@usgs.gov\",\ncomment = c(ORCID = \"0000-0003-0582-0094\")))",
  "Description": "Facilitates the analysis and evaluation of hydrologic\nmodel output and time-series data with functions focused on\ncomparison of modeled (simulated) and observed data,\nperiod-of-record statistics, and trends.",
  "URL": "https://code.usgs.gov/hymett/hymett",
  "BugReports": "https://code.usgs.gov/hymett/hymett/-/issues",
  "License": "CC0",
  "LazyLoad": "yes",
  "LazyData": "yes",
  "VignetteBuilder": "knitr",
  "BuildVignettes": "true",
  "Copyright": "This software is in the public domain because it contains\nmaterials that originally came from the U.S. Geological Survey,\nan agency of the U.S. Department of Interior. For more\ninformation, see the official USGS copyright policy at\nhttp://www.usgs.gov/visual-id/credit_usgs.html#copyright",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-28 08:42:23 UTC",
    "User": "root"
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  "Author": "Colin Penn [aut, cre]\n(<https://orcid.org/0000-0002-5195-2744>), Caelan Simeone [aut]\n(<https://orcid.org/0000-0003-3263-6452>), Sara Levin [aut]\n(<https://orcid.org/0000-0002-2448-3129>), Samuel Saxe [aut]\n(<https://orcid.org/0000-0003-1151-8908>), Sydney Foks [aut]\n(<https://orcid.org/0000-0002-7668-9735>), Robert Dudley [dtc]\n(<https://orcid.org/0000-0002-0934-0568>), Glenn Hodgkins [dtc]\n(<https://orcid.org/0000-0002-4916-5565>), Timothy Hodson [aut]\n(<https://orcid.org/0000-0003-0962-5130>), Thomas Over [dtc]\n(<https://orcid.org/0000-0001-8280-4368>), Amy Russell [dtc]\n(<https://orcid.org/0000-0003-0582-0094>)",
  "Maintainer": "Colin Penn <cpenn@usgs.gov>",
  "Repository": "https://cpenn-usgs.r-universe.dev",
  "Date/Publication": "2024-08-29 02:51:17 UTC",
  "RemoteUrl": "https://github.com/cran/HyMETT",
  "RemoteRef": "HEAD",
  "RemoteSha": "1fe5a71f3c9c85436584edd411f961d262abdb13",
  "MD5sum": "bbc466efaf795e145e6460a8d0b1e956",
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  "_type": "src",
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  "_created": "2026-05-28T08:42:23.000Z",
  "_published": "2026-05-28T08:46:15.391Z",
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      "date": "2023-11-22"
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      "date": "2024-08-28"
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  "_exports": [
    "benchmark_KGE_DOY",
    "calc_annual_flow_stats",
    "calc_annual_stat_trend",
    "calc_logistic_regression",
    "calc_qlpearsonIII",
    "calc_qpearsonIII",
    "censor_values",
    "GOF_correlation_tests",
    "GOF_kling_gupta_efficiency",
    "GOF_mean_absolute_error",
    "GOF_mean_error",
    "GOF_nash_sutcliffe_efficiency",
    "GOF_percent_bias",
    "GOF_rmse",
    "GOF_summary",
    "GOF_volumetric_efficiency",
    "POR_apply_annual_hiflow_stats",
    "POR_apply_annual_lowflow_stats",
    "POR_calc_amp_and_phase",
    "POR_calc_AR1",
    "POR_calc_lp3_quantile",
    "POR_deseasonalize",
    "POR_distribution_metrics",
    "preproc_audit_data",
    "preproc_fill_daily",
    "preproc_main",
    "preproc_precondition_data",
    "preproc_validate_daily"
  ],
  "_datasets": [
    {
      "name": "example_annual",
      "title": "Example Annual Observations",
      "object": "example_annual",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "WY",
        "annual_mean",
        "annual_sd",
        "annual_sum",
        "high_q1",
        "high_q3",
        "high_q7",
        "high_q30",
        "high_q1_jd",
        "high_q3_jd",
        "high_q7_jd",
        "high_q30_jd",
        "low_q7",
        "low_q30",
        "low_q3",
        "low_q1",
        "low_q7_jd",
        "low_q30_jd",
        "low_q3_jd",
        "low_q1_jd",
        "annual_1_percentile",
        "annual_5_percentile",
        "annual_10_percentile",
        "annual_25_percentile",
        "annual_50_percentile",
        "annual_75_percentile",
        "annual_90_percentile",
        "annual_95_percentile",
        "annual_99_percentile",
        "Jan_mean",
        "Jan_sd",
        "Jan_max",
        "Jan_min",
        "Jan_percent_annual",
        "Feb_mean",
        "Feb_sd",
        "Feb_max",
        "Feb_min",
        "Feb_percent_annual",
        "Mar_mean",
        "Mar_sd",
        "Mar_max",
        "Mar_min",
        "Mar_percent_annual",
        "Apr_mean",
        "Apr_sd",
        "Apr_max",
        "Apr_min",
        "Apr_percent_annual",
        "May_mean",
        "May_sd",
        "May_max",
        "May_min",
        "May_percent_annual",
        "Jun_mean",
        "Jun_sd",
        "Jun_max",
        "Jun_min",
        "Jun_percent_annual",
        "Jul_mean",
        "Jul_sd",
        "Jul_max",
        "Jul_min",
        "Jul_percent_annual",
        "Aug_mean",
        "Aug_sd",
        "Aug_max",
        "Aug_min",
        "Aug_percent_annual",
        "Sep_mean",
        "Sep_sd",
        "Sep_max",
        "Sep_min",
        "Sep_percent_annual",
        "Oct_mean",
        "Oct_sd",
        "Oct_max",
        "Oct_min",
        "Oct_percent_annual",
        "Nov_mean",
        "Nov_sd",
        "Nov_max",
        "Nov_min",
        "Nov_percent_annual",
        "Dec_mean",
        "Dec_sd",
        "Dec_max",
        "Dec_min",
        "Dec_percent_annual",
        "WSV",
        "wscvd"
      ],
      "rows": 27,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_mod",
      "title": "Example Model Output",
      "object": "example_mod",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "streamflow_cfs",
        "Date"
      ],
      "rows": 9496,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_mod_zf",
      "title": "Example Model Output with zero flows",
      "object": "example_mod_zf",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "streamflow_cfs",
        "Date"
      ],
      "rows": 9496,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_obs",
      "title": "Example Observations",
      "object": "example_obs",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "streamflow_cfs",
        "quality_cd",
        "Date"
      ],
      "rows": 9496,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_obs_zf",
      "title": "Example Observations with zero flows",
      "object": "example_obs_zf",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "streamflow_cfs",
        "quality_cd",
        "Date"
      ],
      "rows": 9496,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_preproc",
      "title": "Example Observations prepocessed",
      "object": "example_preproc",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Date",
        "value",
        "year",
        "month",
        "day",
        "decimal_date",
        "WY",
        "CY",
        "Q3",
        "Q7",
        "Q30",
        "jd"
      ],
      "rows": 9496,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "HyMETT-package",
      "title": "Hydrologic Model Evaluation and Time-series Tools",
      "topics": [
        "HyMETT-package",
        "HyMETT",
        "_PACKAGE"
      ]
    },
    {
      "page": "benchmark_KGE_DOY",
      "title": "Calculate benchmark Kling-Gupta efficiency (KGE) values from day-of-year (DOY) observations",
      "topics": [
        "benchmark_KGE_DOY"
      ]
    },
    {
      "page": "calc_annual_flow_stats",
      "title": "Calculate annual flow statistics from daily data",
      "topics": [
        "calc_annual_flow_stats"
      ]
    },
    {
      "page": "calc_annual_stat_trend",
      "title": "Calculate trend in annual statistics",
      "topics": [
        "calc_annual_stat_trend"
      ]
    },
    {
      "page": "calc_logistic_regression",
      "title": "Calculate logistic regression in annual statistics with zero values",
      "topics": [
        "calc_logistic_regression"
      ]
    },
    {
      "page": "calc_qlpearsonIII",
      "title": "Quantile of Pearson Type III distribution for log-transformed data",
      "topics": [
        "calc_qlpearsonIII"
      ]
    },
    {
      "page": "calc_qpearsonIII",
      "title": "Quantile of Pearson Type III distribution",
      "topics": [
        "calc_qpearsonIII"
      ]
    },
    {
      "page": "censor_values",
      "title": "Censor values above or below a threshold",
      "topics": [
        "censor_values"
      ]
    },
    {
      "page": "example_annual",
      "title": "Example Annual Observations",
      "topics": [
        "example_annual"
      ]
    },
    {
      "page": "example_mod",
      "title": "Example Model Output",
      "topics": [
        "example_mod"
      ]
    },
    {
      "page": "example_mod_zf",
      "title": "Example Model Output with zero flows",
      "topics": [
        "example_mod_zf"
      ]
    },
    {
      "page": "example_obs",
      "title": "Example Observations",
      "topics": [
        "example_obs"
      ]
    },
    {
      "page": "example_obs_zf",
      "title": "Example Observations with zero flows",
      "topics": [
        "example_obs_zf"
      ]
    },
    {
      "page": "example_preproc",
      "title": "Example Observations prepocessed",
      "topics": [
        "example_preproc"
      ]
    },
    {
      "page": "GOF_correlation_tests",
      "title": "Calculates Kendall's Tau, Spearman's Rho, Pearson Correlation",
      "topics": [
        "GOF_correlation_tests"
      ]
    },
    {
      "page": "GOF_kling_gupta_efficiency",
      "title": "Calculate Kling-Gupta Efficiency (KGE)",
      "topics": [
        "GOF_kling_gupta_efficiency"
      ]
    },
    {
      "page": "GOF_mean_absolute_error",
      "title": "Calculates mean absolute error (MAE).",
      "topics": [
        "GOF_mean_absolute_error"
      ]
    },
    {
      "page": "GOF_mean_error",
      "title": "Calculates mean error.",
      "topics": [
        "GOF_mean_error"
      ]
    },
    {
      "page": "GOF_nash_sutcliffe_efficiency",
      "title": "Calculate Nash-Sutcliffe Efficiency (NSE)",
      "topics": [
        "GOF_nash_sutcliffe_efficiency"
      ]
    },
    {
      "page": "GOF_percent_bias",
      "title": "Calculates percent bias.",
      "topics": [
        "GOF_percent_bias"
      ]
    },
    {
      "page": "GOF_rmse",
      "title": "Calculate root-mean-square error with options to normalize",
      "topics": [
        "GOF_rmse"
      ]
    },
    {
      "page": "GOF_summary",
      "title": "Calculate Goodness-of-fit metrics and output into table",
      "topics": [
        "GOF_summary"
      ]
    },
    {
      "page": "GOF_volumetric_efficiency",
      "title": "Calculate Volumetric Efficiency",
      "topics": [
        "GOF_volumetric_efficiency"
      ]
    },
    {
      "page": "POR_apply_annual_hiflow_stats",
      "title": "Calculate the 50th and 90th percentiles of a streamflow time series",
      "topics": [
        "POR_apply_annual_hiflow_stats"
      ]
    },
    {
      "page": "POR_apply_annual_lowflow_stats",
      "title": "Calculate 10-year and 2-year return periods of a streamflow time series",
      "topics": [
        "POR_apply_annual_lowflow_stats"
      ]
    },
    {
      "page": "POR_calc_amp_and_phase",
      "title": "Calculate the seasonal amplitude and phase of a daily time series",
      "topics": [
        "POR_calc_amp_and_phase"
      ]
    },
    {
      "page": "POR_calc_AR1",
      "title": "calculates lag-one autocorrelation (AR1) coefficient for a time series",
      "topics": [
        "POR_calc_AR1"
      ]
    },
    {
      "page": "POR_calc_lp3_quantile",
      "title": "Calculate quantile from fitted log-Pearson type III distribution",
      "topics": [
        "POR_calc_lp3_quantile"
      ]
    },
    {
      "page": "POR_deseasonalize",
      "title": "Removes seasonal trends from a daily or monthly time series.",
      "topics": [
        "POR_deseasonalize"
      ]
    },
    {
      "page": "POR_distribution_metrics",
      "title": "Calculates various metrics that describe the distribution of a time series of streamflow",
      "topics": [
        "POR_distribution_metrics"
      ]
    },
    {
      "page": "preproc_audit_data",
      "title": "Audit daily data for total days in year",
      "topics": [
        "preproc_audit_data"
      ]
    },
    {
      "page": "preproc_fill_daily",
      "title": "Fills daily data with missing dates as 'NA' values",
      "topics": [
        "preproc_fill_daily"
      ]
    },
    {
      "page": "preproc_main",
      "title": "A wrapper function for preproc_precondition_data, preproc_audit_data, and calc_annual_flow_stats",
      "topics": [
        "preproc_main"
      ]
    },
    {
      "page": "preproc_precondition_data",
      "title": "Pre-conditions data with time information and n-day moving averages",
      "topics": [
        "preproc_precondition_data"
      ]
    },
    {
      "page": "preproc_validate_daily",
      "title": "Validates that daily data do not contain gaps",
      "topics": [
        "preproc_validate_daily"
      ]
    }
  ],
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      "source": "HyMETT_Basic_Workflow.Rmd",
      "filename": "HyMETT_Basic_Workflow.html",
      "title": "Basic workflow of HyMETT",
      "author": "Colin Penn and Caelen Simeone",
      "engine": "knitr::rmarkdown",
      "headings": [
        "HyMETT",
        "Installing HyMETT",
        "Using HyMETT at a single site",
        "Running the provided operational script.",
        "Operations within the operational script",
        "Automated Reports at a Single Site",
        "Using HyMETT at a few sites",
        "Automated Reports at a Few Sites",
        "Using HyMETT at many sites",
        "Automated Reports at Many Sites"
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      "created": "2023-11-23 02:37:05",
      "modified": "2023-11-23 02:37:05",
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