X_RF-class: XhRF constructor

Description Slots

Description

The 'X_RF' object is X-learner combined with honest random forest used for the propensity score estimate, the first stage and the second stage.

Slots

feature_train

A data frame of all training features.

tr_train

A vector contain 0 for control and 1 for treated variables.

yobs_train

A vector containing the observed outcomes.

m_0

contains an honest random forest predictor for the control group of the first stage.

m_1

contains an honest random forest predictor for the treated group of the first stage.

m_tau_0

contains an honest random forest predictor for the control group of the second stage.

m_tau_1

contains an honest random forest predictor for the treated group of the second stage.

m_prop

contains an honest random forest predictor the propensity score.

relevant_Variable_first

contains the indices of variables, which are only used in the first stage.

relevant_Variable_second

contains the numbers of variables, which are only used in the second stage.


soerenkuenzel/hte documentation built on June 12, 2018, 4:26 p.m.