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  "Title": "Prediction Intervals",
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  "Description": "An implementation of prediction intervals for\noverdispersed count data, for overdispersed binomial data and\nfor linear random effects models.",
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    "quasi_bin_pi",
    "quasi_pois_pi",
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    "rnbinom",
    "rqbinom",
    "rqpois"
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      "title": "Historical numbers of revertant colonies in the Ames test (OECD 471)",
      "object": "ames_HCD",
      "class": [
        "data.frame"
      ],
      "fields": [
        "rev_col",
        "no_dish"
      ],
      "rows": 28,
      "table": true,
      "tojson": true
    },
    {
      "name": "bb_dat1",
      "title": "Beta-binomial data (example 1)",
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      "class": [
        "data.frame"
      ],
      "fields": [
        "succ",
        "fail"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "bb_dat2",
      "title": "Beta-binomial data (example 2)",
      "object": "bb_dat2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "succ",
        "fail"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Cross-classified data (example 1)",
      "object": "c2_dat1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y_ijk",
        "a",
        "b"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "c2_dat2",
      "title": "Cross-classified data (example 2)",
      "object": "c2_dat2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y_ijk",
        "a",
        "b"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "c2_dat3",
      "title": "Cross-classified data (example 3)",
      "object": "c2_dat3",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y_ijk",
        "a",
        "b"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "c2_dat4",
      "title": "Cross-classified data (example 4)",
      "object": "c2_dat4",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y_ijk",
        "a",
        "b"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "mortality_HCD",
      "title": "Historical mortality of male B6C3F1-mice",
      "object": "mortality_HCD",
      "class": [
        "data.frame"
      ],
      "fields": [
        "dead",
        "alive"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "qb_dat1",
      "title": "Quasi-binomial data (example 1)",
      "object": "qb_dat1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "succ",
        "fail"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "qb_dat2",
      "title": "Quasi-binomial data (example 2)",
      "object": "qb_dat2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "succ",
        "fail"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "qp_dat1",
      "title": "Quasi-Poisson data (example 1)",
      "object": "qp_dat1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "offset"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "qp_dat2",
      "title": "Quasi-Poisson data (example 2)",
      "object": "qp_dat2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "offset"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ames_HCD",
      "title": "Historical numbers of revertant colonies in the Ames test (OECD 471)",
      "topics": [
        "ames_HCD"
      ]
    },
    {
      "page": "as.data.frame.predint",
      "title": "Store prediction intervals or limits as a 'data.frame'",
      "topics": [
        "as.data.frame.predint"
      ]
    },
    {
      "page": "bb_dat1",
      "title": "Beta-binomial data (example 1)",
      "topics": [
        "bb_dat1"
      ]
    },
    {
      "page": "bb_dat2",
      "title": "Beta-binomial data (example 2)",
      "topics": [
        "bb_dat2"
      ]
    },
    {
      "page": "bb_pi",
      "title": "Simple uncalibrated prediction intervals for beta-binomial data",
      "topics": [
        "bb_pi"
      ]
    },
    {
      "page": "beta_bin_pi",
      "title": "Prediction intervals for beta-binomial data",
      "topics": [
        "beta_bin_pi"
      ]
    },
    {
      "page": "bisection",
      "title": "Bisection algorithm for bootstrap calibration of prediction intervals",
      "topics": [
        "bisection"
      ]
    },
    {
      "page": "boot_predint",
      "title": "Bootstrap new data from uncalibrated prediction intervals",
      "topics": [
        "boot_predint"
      ]
    },
    {
      "page": "c2_dat1",
      "title": "Cross-classified data (example 1)",
      "topics": [
        "c2_dat1"
      ]
    },
    {
      "page": "c2_dat2",
      "title": "Cross-classified data (example 2)",
      "topics": [
        "c2_dat2"
      ]
    },
    {
      "page": "c2_dat3",
      "title": "Cross-classified data (example 3)",
      "topics": [
        "c2_dat3"
      ]
    },
    {
      "page": "c2_dat4",
      "title": "Cross-classified data (example 4)",
      "topics": [
        "c2_dat4"
      ]
    },
    {
      "page": "lmer_bs",
      "title": "Sampling of bootstrap data from a given random effects model",
      "topics": [
        "lmer_bs"
      ]
    },
    {
      "page": "lmer_pi",
      "title": "Prediction intervals for future observations based on linear random effects models (DEPRECATED)",
      "topics": [
        "lmer_pi"
      ]
    },
    {
      "page": "lmer_pi_futmat",
      "title": "Prediction intervals for future observations based on linear random effects models",
      "topics": [
        "lmer_pi_futmat"
      ]
    },
    {
      "page": "lmer_pi_futvec",
      "title": "Prediction intervals for future observations based on linear random effects models",
      "topics": [
        "lmer_pi_futvec"
      ]
    },
    {
      "page": "lmer_pi_unstruc",
      "title": "Prediction intervals for future observations based on linear random effects models",
      "topics": [
        "lmer_pi_unstruc"
      ]
    },
    {
      "page": "mortality_HCD",
      "title": "Historical mortality of male B6C3F1-mice",
      "topics": [
        "mortality_HCD"
      ]
    },
    {
      "page": "nb_pi",
      "title": "Simple uncalibrated prediction intervals for negative-binomial data",
      "topics": [
        "nb_pi"
      ]
    },
    {
      "page": "neg_bin_pi",
      "title": "Prediction intervals for negative-binomial data",
      "topics": [
        "neg_bin_pi"
      ]
    },
    {
      "page": "normal_pi",
      "title": "Simple uncalibrated prediction intervals for normal distributed data",
      "topics": [
        "normal_pi"
      ]
    },
    {
      "page": "pi_rho_est",
      "title": "Estimation of the binomial proportion and the intra class correlation.",
      "topics": [
        "pi_rho_est"
      ]
    },
    {
      "page": "plot.predint",
      "title": "Plots of 'predint' objects",
      "topics": [
        "plot.predint"
      ]
    },
    {
      "page": "print.predint",
      "title": "Print objects of class 'predint'",
      "topics": [
        "print.predint"
      ]
    },
    {
      "page": "qb_dat1",
      "title": "Quasi-binomial data (example 1)",
      "topics": [
        "qb_dat1"
      ]
    },
    {
      "page": "qb_dat2",
      "title": "Quasi-binomial data (example 2)",
      "topics": [
        "qb_dat2"
      ]
    },
    {
      "page": "qb_pi",
      "title": "Simple uncalibrated prediction intervals for quasi-binomial data",
      "topics": [
        "qb_pi"
      ]
    },
    {
      "page": "qp_dat1",
      "title": "Quasi-Poisson data (example 1)",
      "topics": [
        "qp_dat1"
      ]
    },
    {
      "page": "qp_dat2",
      "title": "Quasi-Poisson data (example 2)",
      "topics": [
        "qp_dat2"
      ]
    },
    {
      "page": "qp_pi",
      "title": "Simple uncalibrated prediction intervals for quasi-Poisson data",
      "topics": [
        "qp_pi"
      ]
    },
    {
      "page": "quasi_bin_pi",
      "title": "Prediction intervals for quasi-binomial data",
      "topics": [
        "quasi_bin_pi"
      ]
    },
    {
      "page": "quasi_pois_pi",
      "title": "Prediction intervals for quasi-Poisson data",
      "topics": [
        "quasi_pois_pi"
      ]
    },
    {
      "page": "rbbinom",
      "title": "Sampling of beta-binomial data",
      "topics": [
        "rbbinom"
      ]
    },
    {
      "page": "rnbinom",
      "title": "Sampling of negative binomial data",
      "topics": [
        "rnbinom"
      ]
    },
    {
      "page": "rqbinom",
      "title": "Sampling of overdispersed binomial data with constant overdispersion",
      "topics": [
        "rqbinom"
      ]
    },
    {
      "page": "rqpois",
      "title": "Sampling of overdispersed Poisson data with constant overdispersion",
      "topics": [
        "rqpois"
      ]
    },
    {
      "page": "summary.predint",
      "title": "Summarizing objects of class 'predint'",
      "topics": [
        "summary.predint"
      ]
    }
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