Use arpoon.rfixest.Fixest.feglm() in arpoon.rfixest.Fixest to create instances of FixestGLM.

For a complete reference on the attributes and methods please visit fixest feglm.

Methods¶

coefficients(rout: bool = False)

coeftable(keep: str = None, drop: str = None, ...)

confint(parm: str = None, level: float = 0.95, ...)

fitstat(type_: str | list = None, simplify=False, verbose=True, ...)

fixef(fe_name: str = None, notes=None, ...) → dict

fixef_vars(to_id: bool = True)

Parameters:¶

to_id: bool = True

get_residuals(type_: str = None, ...) → DataFrame

model_matrix_info()

models() → DataFrame

obs() → ndarray

predict(newdata: DataFrame = None, ...) → DataFrame

summary(vcov: str = None, cluster: str = None, ...) → Summary

Properties¶

property call

property cov_iid

property family

property fitted_values

property fixef_id

property fixef_sizes

property fml

//rpy2.github.io/doc/v2.9.x/html/robjects_formulae.html

property fml_all

property hessian

property linear_predictors

property method

property nobs

property nparams

property obs_selection

property residuals

property sumFE

Export¶

to_marginal_effects()