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, slope
float
Constant and slope for linear (affine) transformation.
- alpha
float
Significance level for the confidence interval, coverage is
1-alpha
- alternative
str
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
- const, slope
- Returns:¶
Last update:
Dec 16, 2024