linearmodels.compat.statsmodels.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¶
some required information is directly taken from the result instance
- yname=
None
¶ optional name for the endogenous variable, default is “y”
- xname=
None
¶ optional names for the exogenous variables, default is “var_xx”
- alpha=
0.05
¶ significance level for the confidence intervals
- use_t=
True
¶ 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