Poisson.loglike()

statsmodels.genmod.families.family.Poisson.loglike

Poisson.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-like

Endogenous response variable

mu : array-like

Fitted mean response variable

freq_weights : array-like

1d array of frequency weights. The default is 1.

scale : float, optional

The scale parameter, defaults to 1.

Returns:

llf : float

The value of the loglikelihood function evaluated at (endog,mu,freq_weights,scale) as defined below.

Notes

llf = scale * \sum_i freq\_weights_i * (Y_i * \log(\mu_i) - \mu_i -
      \ln \Gamma(Y_i + 1))

© 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.Poisson.loglike.html

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