statsmodels.genmod.families.family.Family.loglike_obs¶
- Family.loglike_obs(endog, mu, var_weights=1.0, scale=1.0)[source]¶
 The log-likelihood function for each observation in terms of the fitted mean response for the distribution.
- Parameters:¶
 - endog
ndarray Usually the endogenous response variable.
- mu
ndarray Usually but not always the fitted mean response variable.
- var_weightsarray_like
 1d array of variance (analytic) weights. The default is 1.
- scale
float The scale parameter. The default is 1.
- endog
 - Returns:¶
 - ll_i
float The value of the loglikelihood evaluated at (endog, mu, var_weights, scale) as defined below.
- ll_i
 
Notes
This is defined for each family. endog and mu are not restricted to
endogandmurespectively. For instance, you could call bothloglike(endog, endog)andloglike(endog, mu)to get the log-likelihood ratio.
  
    
      Last update:
      Jun 10, 2024