statsmodels.iolib.summary.Summary.add_table_params

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

create and add a table for the parameter estimates

Parameters:

• res (results instance) – some required information is directly taken from the result instance

• yname ({str, None}) – optional name for the endogenous variable, default is “y”

• xname ({list[str], 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