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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 : table is attached

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