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.
- link
See also
- Link Functions
Further details on links.
- Attributes
link
Link function for family
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
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
Properties
Link function for family