statsmodels.genmod.generalized_estimating_equations.NominalGEE.estimate_tweedie_power¶
-
NominalGEE.estimate_tweedie_power(mu, method=
'brentq'
, low=1.01
, high=5.0
)¶ Tweedie specific function to estimate scale and the variance parameter. The variance parameter is also referred to as p, xi, or shape.
- Parameters:¶
- muarray_like
Fitted mean response variable
- method
str
,defaults
to
‘brentq’ Scipy optimizer used to solve the Pearson equation. Only brentq currently supported.
- low
float
,optional
Low end of the bracketing interval [a,b] to be used in the search for the power. Defaults to 1.01.
- high
float
,optional
High end of the bracketing interval [a,b] to be used in the search for the power. Defaults to 5.
- Returns:¶
- power
float
The estimated shape or power.
- power
Last update:
Dec 16, 2024