Class to contain GLM results.
GLMResults inherits from statsmodels.LikelihoodModelResults
Parameters : | See statsmodels.LikelihoodModelReesults : |
---|---|
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
pvalues : 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
aic() | |
bic() | |
bse() | |
conf_int([alpha, cols, method]) | Returns the confidence interval of the fitted parameters. |
cov_params([r_matrix, column, scale, other]) | Returns the variance/covariance matrix. |
deviance() | |
f_test(r_matrix[, q_matrix, scale, invcov]) | Compute an Fcontrast/F-test for a contrast matrix. |
fittedvalues() | |
initialize(model, params, **kwd) | |
llf() | |
normalized_cov_params() | |
null() | |
null_deviance() | |
pearson_chi2() | |
pvalues() | |
resid_anscombe() | |
resid_deviance() | |
resid_pearson() | |
resid_response() | |
resid_working() | |
summary([yname, xname, title, returns]) | Print a table of results or returns SimpleTable() instance which |
t([column]) | deprecated: Return the t-statistic for a given parameter estimate. |
t_test(r_matrix[, q_matrix, scale]) | Compute a tcontrast/t-test for a row vector array of the form Rb = q |
tvalues() | Return the t-statistic for a given parameter estimate. |