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:
resresults 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”

alphafloat

significance level for the confidence intervals

use_tbool

indicator whether the p-values are based on the Student-t distribution (if True) or on the normal distribution (if False)

Returns:
Nonetable is attached