@classmethod
def plot(cls, x, y, rope=0, runs=1, *, names=None):
    """
        Plot the posterior Student distribution as a histogram.

        Args:
            x (np.array): a vector of scores for the first model
            y (np.array): a vector of scores for the second model
            rope (float): the width of the region of practical equivalence (default: 0)
            names (tuple of str): names of classifiers

        Returns:
            matplotlib figure
        """
    return cls(x, y, rope, runs).plot(names)
