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
fit_history : dict
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 : float
stand_errors : array
|
See also
statsmodels.LikelihoodModelResults
Methods
conf_int([alpha, cols, method]) | Returns the confidence interval of the fitted parameters. |
cov_params([r_matrix, column, scale, cov_p, ...]) | Returns the variance/covariance matrix. |
f_test(r_matrix[, q_matrix, cov_p, scale, ...]) | Compute an Fcontrast/F-test for a contrast matrix. |
initialize(model, params, **kwd) | |
load(fname) | load a pickle, (class method) |
normalized_cov_params() | |
predict(*args, **kwargs[, exog]) | |
remove_data() | remove data arrays, all nobs arrays from result and model |
save(fname[, remove_data]) | save a pickle of this instance |
summary([yname, xname, title, alpha]) | Summarize the Regression Results |
summary_old([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, cov_p, scale]) | Compute a tcontrast/t-test for a row vector array of the form Rb = q |