statsmodels.iolib.summary.Summary.add_table_params

Summary.add_table_params(res, yname=None, xname=None, alpha=0.05, use_t=True) [source]

create and add a table for the parameter estimates

Parameters:	res (results instance) – some required information is directly taken from the result instance yname (string or None) – optional name for the endogenous variable, default is “y” xname (list of strings or None) – optional names for the exogenous variables, default is “var_xx” alpha (float) – significance level for the confidence intervals use_t (bool) – indicator whether the p-values are based on the Student-t distribution (if True) or on the normal distribution (if False)
Returns:	None
Return type:	table is attached