statsmodels.genmod.families.family.Gamma¶
- 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.
- link
See also
statsmodels.genmod.families.family.Family
Parent class for all links.
- Link Functions
Further details on links.
- Attributes:
- Gamma.link
a
link
instance
The link function of the Gamma instance
- Gamma.variance
varfunc
instance
variance
is an instance of statsmodels.genmod.family.varfuncs.mu_squared
- Gamma.link
Methods
Methods
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.
get_distribution
(mu, scale[, var_weights])Frozen Gamma distribution instance for given parameters
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
Properties
Link function for family