Logo

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.

Methods

deviance(Y, mu[, scale]) Deviance of (Y,mu) pair.
fitted(eta) Fitted values based on linear predictors eta.
loglike(Y, mu[, scale]) The loglikelihood function.
predict(mu) Linear predictors based on given mu values.
resid_anscombe(Y, mu) The Anscome residuals.
resid_dev(Y, mu[, scale]) The deviance residuals
starting_mu(y) Starting value for mu in the IRLS algorithm.
weights(mu) Weights for IRLS steps

Previous topic

statsmodels.genmod.generalized_linear_model.GLMResults.tvalues

Next topic

statsmodels.genmod.families.family.Family.deviance

This Page