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:

resresults instance: some required information is directly taken from the result instance
ynamestr, optional: optional name for the endogenous variable, default is “y”
xnamelist of str, optional: optional names for the exogenous variables, default is “var_xx”
alphafloat, optional: significance level for the confidence intervals
use_tbool, optional: indicator whether the p-values are based on the Student-t distribution (if True) or on the normal distribution (if False)

Returns: