'Return the parameter table as a pandas DataFrame
This is only available for t and normal tests'

def summary_frame(self, xname=None, alpha=0.05):

    if (self.effect is not None):
        use_t = (self.distribution == 't')
        yname = 'constraints'
        if (xname is None):
            xname = [('c%d' % ii) for ii in range(len(self.effect))]
        from statsmodels.iolib.summary import summary_params_frame
        summ = summary_params_frame((self, self.effect, self.sd, self.statistic, self.pvalue, self.conf_int(alpha)), yname=yname, xname=xname, use_t=use_t, alpha=alpha)
        return summ
    else:
        raise NotImplementedError('only    available    for    t    and    z')
