Family.loglike()
statsmodels.genmod.families.family.Family.loglike
-
Family.loglike(endog, mu, freq_weights=1.0, scale=1.0)
[source] -
The log-likelihood function in terms of the fitted mean response.
Parameters: endog : array
Usually the endogenous response variable.
mu : array
Usually but not always the fitted mean response variable.
freq_weights : array-like
1d array of frequency weights. The default is 1.
scale : float
The scale parameter. The default is 1.
Returns: llf : float
The value of the loglikelihood evaluated at (endog,mu,freq_weights,scale) as defined below.
Notes
This is defined for each family. endog and mu are not restricted to
endog
andmu
respectively. For instance, the deviance function calls both loglike(endog,endog) and loglike(endog,mu) to get the likelihood ratio.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.genmod.families.family.Family.loglike.html