3.9.4.2.3. statsmodels.regression.quantile_regression.RegressionModel¶
-
class
statsmodels.regression.quantile_regression.
RegressionModel
(endog, exog, **kwargs)[source]¶ Base class for linear regression models. Should not be directly called.
Intended for subclassing.
3.9.4.2.3.1. Methods¶
__init__ (endog, exog, **kwargs) |
|
fit ([method, cov_type, cov_kwds, use_t]) |
Full fit of the model. |
fit_regularized ([method, maxiter, alpha, ...]) |
Return a regularized fit to a linear regression model. |
from_formula (formula, data[, subset]) |
Create a Model from a formula and dataframe. |
hessian (params) |
The Hessian matrix of the model |
information (params) |
Fisher information matrix of model |
initialize () |
|
loglike (params) |
Log-likelihood of model. |
predict (params[, exog]) |
Return linear predicted values from a design matrix. |
score (params) |
Score vector of model. |
whiten (X) |
3.9.4.2.3.2. Attributes¶
df_model |
The model degree of freedom, defined as the rank of the regressor matrix minus 1 if a constant is included. |
df_resid |
The residual degree of freedom, defined as the number of observations minus the rank of the regressor matrix. |
endog_names |
|
exog_names |