statsmodels.stats.nonparametric.RankCompareResult.confint_lintransf¶

RankCompareResult.confint_lintransf(const=-1, slope=2, alpha=0.05, alternative='two-sided')[source]¶

confidence interval of a linear transformation of prob1

This computes the confidence interval for

d = const + slope * prob1

Default values correspond to Somers’ d.

Parameters:

const, slopefloat

Constant and slope for linear (affine) transformation.

alphafloat

Significance level for the confidence interval, coverage is 1-alpha

alternativestr

The alternative hypothesis, H1, has to be one of the following

‘two-sided’ : H1: prob - value not equal to 0.

‘larger’ : H1: prob - value > 0

‘smaller’ : H1: prob - value < 0

Returns:

lowerfloat or ndarray: Lower confidence limit. This is -inf for the one-sided alternative “smaller”.
upperfloat or ndarray: Upper confidence limit. This is inf for the one-sided alternative “larger”.