genmod.families.family.Family()

statsmodels.genmod.families.family.Family

class statsmodels.genmod.families.family.Family(link, variance) [source]

The parent class for one-parameter exponential families.

Parameters:	link : a link function instance Link is the linear transformation function. See the individual families for available links. variance : a variance function Measures the variance as a function of the mean probabilities. See the individual families for the default variance function.

See also

Link Functions

Attributes

link	Link function for family

Methods

deviance(endog, mu[, freq_weights, scale])	The deviance function evaluated at (endog,mu,freq_weights,mu).
fitted(lin_pred)	Fitted values based on linear predictors lin_pred.
loglike(endog, mu[, freq_weights, scale])	The log-likelihood function in terms of the fitted mean response.
predict(mu)	Linear predictors based on given mu values.
resid_anscombe(endog, mu)	The Anscombe residuals
resid_dev(endog, mu[, freq_weights, scale])	The deviance residuals
starting_mu(y)	Starting value for mu in the IRLS algorithm.
weights(mu)	Weights for IRLS steps

Methods

deviance(endog, mu[, freq_weights, scale])	The deviance function evaluated at (endog,mu,freq_weights,mu).
fitted(lin_pred)	Fitted values based on linear predictors lin_pred.
loglike(endog, mu[, freq_weights, scale])	The log-likelihood function in terms of the fitted mean response.
predict(mu)	Linear predictors based on given mu values.
resid_anscombe(endog, mu)	The Anscombe residuals
resid_dev(endog, mu[, freq_weights, scale])	The deviance residuals
starting_mu(y)	Starting value for mu in the IRLS algorithm.
weights(mu)	Weights for IRLS steps