LoTTA_fuzzy_BIN         LoTTA_fuzzy_BIN
LoTTA_fuzzy_CONT        LoTTA_fuzzy_CONT
LoTTA_plot_effect       LoTTA_plot_effect
LoTTA_plot_effect_DIS   Function that visualizes the impact of the
                        cutoff location on the treatment effect
                        estimate. It plots too figures. The bottom
                        figure depicts the posterior density of the
                        cutoff location. The top figure depicts the box
                        plot of the treatment effect given the cutoff
                        point. If the prior on the cutoff location was
                        discrete each box corresponds to a distinct
                        cutoff point. If the prior was continuous each
                        box correspond to an interval of cutoff values
                        (the number of intervals can be changed through
                        nbins).
LoTTA_plot_outcome      LoTTA_plot_outcome
LoTTA_plot_treatment    Function that plots the median (or another
                        quantile) of the LoTTA posterior treatment
                        probability function along with the
                        quanatile-based credible interval. The function
                        is plotted on top of the binned input data. To
                        bin the data, the score data is divided into
                        bins of fixed length, then the proportion of
                        treated is calculated in each bin. The
                        proportions are plotted against the average
                        values of the score in the corresponding bins.
                        The data is binned separately on each side of
                        the cutoff, the cutoff is marked on the plot
                        with a dotted line. In case of an unknown
                        cutoff, the MAP estimate is used.
LoTTA_sharp_BIN         LoTTA_sharp_BIN
LoTTA_sharp_CONT        LoTTA_sharp_CONT
LoTTA_treatment         LoTTA_treatment
