genmod.families.family.Family()
statsmodels.genmod.families.family.Family
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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
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
© 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.Family.html