statsmodels.genmod.families.family.Gaussian¶

class statsmodels.genmod.families.family.Gaussian(link=None, check_link=True)[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.
check_link (bool) – If True (default), then and exception is raised if the link is invalid for the family. If False, then the link is not checked.

link¶

The link function of the Gaussian instance

variance¶

variance is an instance of statsmodels.genmod.families.varfuncs.constant

See also

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 Gaussian 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 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