statsmodels.genmod.families.family.Gaussian¶
-
class
statsmodels.genmod.families.family.
Gaussian
(link=None)[source]¶ Gaussian exponential family distribution.
Parameters: link : a link instance, optional
The default link for the Gaussian family is the identity link. Available links are log, identity, and inverse. See statsmodels.genmod.families.links for more information.
See also
statsmodels.genmod.families.family.Family
- Parent class for all links.
- Link Functions
- Further details on links.
Attributes
Gaussian.link (a link instance) The link function of the Gaussian instance Gaussian.variance (varfunc instance) variance
is an instance of statsmodels.genmod.families.varfuncs.constantMethods
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 Gaussian 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. variance
weights
(mu)Weights for IRLS steps 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. 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 Gaussian 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
Link function for family links
safe_links
valid
variance