norm_drl: This is a wrapper of the C++ function that normalizes the...
In MCKnaus/causalDML: Causal Double Machine Learning

norm_drl

R Documentation

This is a wrapper of the C++ function that normalizes the weights for the NDR-learner

This is a wrapper of the C++ function that normalizes the weights for the NDR-learner

norm_drl(alpha, m_mat, y, w_mat, e_mat)

`alpha`	Sparse matrix containing the weights for each observation to be predicted
`m_mat`	n x T+1 matrix with fitted outcome values.
`y`	Vector of variable to be predicted.
`w_mat`	Logical matrix of treatment indicators (n x T+1). For example created by `prep_w_mat`.
`e_mat`	n x T+1 matrix with propensity scores.