Class to contain GLM results.
GLMResults inherits from statsmodels.LikelihoodModelResults
Parameters: | See statsmodels.LikelihoodModelReesults : |
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Returns: | **Attributes** : aic : float
bic : float
deviance : float
df_model : float
df_resid : float
fittedvalues : array
llf : float
model : class instance
mu : array
nobs : float
normalized_cov_params : array
null_deviance : float
params : array
pearson_chi2 : array
pinv_wexog : array
resid_anscombe : array
resid_deviance : array
resid_pearson : array
resid_response : array
resid_working : array
scale : array
stand_errors : array
|
See also
statsmodels.LikelihoodModelResults
Methods
conf_int([alpha, cols]) | Returns the confidence interval of the fitted parameters. |
cov_params([r_matrix, column, scale, other]) | Returns the variance/covariance matrix. |
f_test(r_matrix[, scale, invcov]) | Compute an Fcontrast/F-test for a contrast matrix. |
t([column]) | Return the t-statistic for a given parameter estimate. |
t_test(r_matrix[, scale]) | Compute a tcontrast/t-test for a row vector array. |