econml.inference.LinearModelFinalInferenceDiscrete

class econml.inference.LinearModelFinalInferenceDiscrete[source]

Bases: econml.inference._inference.GenericModelFinalInferenceDiscrete

Inference method for estimators with categorical treatments, where a linear in X model is used for the CATE associated with each treatment. Implements the coef__interval and intercept__interval based on the corresponding methods of the underlying model_final estimator.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()

Initialize self.

ate_inference([X, T0, T1])

ate_interval([X, T0, T1, alpha])

coef__inference(T)

coef__interval(T, *[, alpha])

const_marginal_ate_inference([X])

const_marginal_ate_interval([X, alpha])

const_marginal_effect_inference(X)

const_marginal_effect_interval(X, *[, alpha])

effect_inference(X, *, T0, T1)

effect_interval(X, *, T0, T1[, alpha])

fit(estimator, *args, **kwargs)

Fits the inference model.

intercept__inference(T)

intercept__interval(T, *[, alpha])

marginal_ate_inference(T[, X])

marginal_ate_interval(T[, X, alpha])

prefit(estimator, *args, **kwargs)

Performs any necessary logic before the estimator’s fit has been called.

fit(estimator, *args, **kwargs)

Fits the inference model.

This is called after the estimator’s fit.

prefit(estimator, *args, **kwargs)

Performs any necessary logic before the estimator’s fit has been called.