class statsmodels.genmod.families.family.Gamma(link=None)
[source]
Gamma exponential family distribution.
Parameters: | link (a link instance, optional) – The default link for the Gamma family is the inverse link. Available links are log, identity, and inverse. See statsmodels.genmod.families.links for more information. |
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link
a link instance – The link function of the Gamma instance
variance
varfunc instance – variance
is an instance of statsmodels.genmod.family.varfuncs.mu_squared
deviance (endog, mu[, var_weights, …]) | The deviance function evaluated at (endog, mu, var_weights, freq_weights, scale) for the distribution. |
fitted (lin_pred) | Fitted values based on linear predictors lin_pred. |
loglike (endog, mu[, var_weights, …]) | The log-likelihood function in terms of the fitted mean response. |
loglike_obs (endog, mu[, var_weights, scale]) | The log-likelihood function for each observation in terms of the fitted mean response for the Gamma distribution. |
predict (mu) | Linear predictors based on given mu values. |
resid_anscombe (endog, mu[, var_weights, scale]) | The Anscombe residuals |
resid_dev (endog, mu[, var_weights, scale]) | The deviance residuals |
starting_mu (y) | Starting value for mu in the IRLS algorithm. |
weights (mu) | Weights for IRLS steps |
© 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.Gamma.html