auc |
Compute the Area Under the pp_plot Curve Calculates the area under the 'pp' curve. The area under the curve is also a useful effect-size like statistic, representing the probability that a randomly selected individual from the 'x' distribution will have a higher value than a randomly selected individual from the 'y' distribution. |

benchmarks |
Synthetic benchmark screening data |

binned_es |
Calculate binned effect sizes |

binned_plot |
Quantile-binned effect size plot |

coh_d |
Compute Cohen's _d_ |

ecdf_plot |
Empirical Cumulative Distribution Plot |

hedg_g |
Compute Hedges' _g_ This function calculates effect sizes in terms of Hedges' _g_, also called the corrected (for sample size) effect size. See 'coh_d' for the uncorrected version. Also see Lakens (2013) for a discussion on different types of effect sizes and their interpretation. Note that missing data are removed from the calculations of the means and standard deviations. |

pac |
Compute the proportion above a specific cut location |

pac_compare |
Compute the difference in the proportion above a specific cut location |

pp_plot |
Produces the paired probability plot for two groups |

seda |
Portion of the Stanford Educational Data Archive (SEDA). |

star |
Data from the Tennessee class size experiment |

tpac |
Transformed proportion above the cut |

tpac_compare |
Compare Transformed Proportion Above the Cut |

v |
Calculate the V effect size statistic |