auc                     Calculate the area under the curve
benchmarks              Synthetic benchmark screening data
binned_plot             Quantile-binned effect size plot
cdfs                    Compute the empirical distribution functions
                        for each of several groups.
coh_d                   Compute Cohen's _d_
col_hue                 Color hues
col_scheme              Determine the color scheme to be used for the
                        plotting
create_base_legend      Create a base legend for a plot
create_cut_refs         Create a set of reference lines according to a
                        cut score
create_legend           Create a legend for a plot
create_vec              Create a named vector of all possible
                        combinations
ecdf_plot               Empirical Cumulative Distribution Plot
empty_plot              Create an empty 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
parse_form              Parse formula
pooled_sd               Compute pooled standard deviation
pp_annotate             Annotation function to add AUC/V to a given
                        plot
pp_calcs                Produce calculations necessary for pp_plot.
pp_plot                 Produces the paired probability plot for two
                        groups
probs                   Compute probabilities from the empirical CDFs
                        of a grouping variable for each group.
qtile_es                Compute effect sizes by quantile bins
qtile_mean_diffs        Compute mean differences by various quantiles
qtile_n                 Compute sample size for each quantile bin for
                        each group
seda                    Portion of the Stanford Educational Data
                        Archive (SEDA).
seg_match               Match segments on a plot
star                    Data from the Tennessee class size experiment
themes                  Theme settings
tpac                    Transformed proportion above the cut
v                       Calculate the V effect size statistic
