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

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 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