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 and mu 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

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