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  "Title": "Fits Psychometric Functions for Multiple Groups",
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  "License": "MIT + file LICENSE",
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    "devi",
    "get_functions",
    "inv_cum_normal_fun",
    "inv_logistic_fun",
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    "logistic_fun",
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    "model_selection_lrt",
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    "quickpsy",
    "quickreadfiles",
    "weibull_fun"
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      "object": "qpdat",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "participant",
        "cond",
        "trial",
        "phase",
        "resp"
      ],
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      "table": true,
      "tojson": true
    }
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    {
      "page": "akaike",
      "title": "Calculates the Akaike Information Criterion 'akaike' calculates the loglikelihoods.",
      "topics": [
        "akaike"
      ]
    },
    {
      "page": "avbootstrap",
      "title": "Creates bootstrap samples",
      "topics": [
        "avbootstrap"
      ]
    },
    {
      "page": "create_psy_fun",
      "title": "Creates the psychometric function 'create_psy_fun' creates the psychometric function",
      "topics": [
        "create_psy_fun"
      ]
    },
    {
      "page": "cum_normal_fun",
      "title": "Cumulative normal function",
      "topics": [
        "cum_normal_fun"
      ]
    },
    {
      "page": "devi",
      "title": "Calculates the deviance",
      "topics": [
        "devi"
      ]
    },
    {
      "page": "get_functions",
      "title": "Predefined functions",
      "topics": [
        "get_functions"
      ]
    },
    {
      "page": "inv_cum_normal_fun",
      "title": "Inverse cumulative normal function",
      "topics": [
        "inv_cum_normal_fun"
      ]
    },
    {
      "page": "inv_logistic_fun",
      "title": "Inverse logistic function",
      "topics": [
        "inv_logistic_fun"
      ]
    },
    {
      "page": "inv_weibull_fun",
      "title": "Inverse Weibull function",
      "topics": [
        "inv_weibull_fun"
      ]
    },
    {
      "page": "logistic_fun",
      "title": "Logistic function",
      "topics": [
        "logistic_fun"
      ]
    },
    {
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      "title": "Calculates the loglikelihoods 'logliks' calculates the loglikelihoods.",
      "topics": [
        "logliks"
      ]
    },
    {
      "page": "loglikssaturated",
      "title": "Calculates the saturated loglikelihoods 'logliks' calculates the saturatedloglikelihoods.",
      "topics": [
        "loglikssaturated"
      ]
    },
    {
      "page": "model_selection_aic",
      "title": "Select models using the Akaike Information Criterion",
      "topics": [
        "model_selection_aic"
      ]
    },
    {
      "page": "model_selection_lrt",
      "title": "Select models using the likelihood ratio test",
      "topics": [
        "model_selection_lrt"
      ]
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      "title": "Plot the curves",
      "topics": [
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      ]
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      "topics": [
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      ]
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      ]
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        "quickpsy"
      ]
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