W |
A matrix , data.frame , or similar containing a set of
baseline covariates.
|
A |
A numeric vector corresponding to a exposure variable. The
parameter of interest is defined as a location shift of this quantity.
|
Y |
A numeric vector of the observed outcomes.
|
delta |
A numeric value indicating the shift in the exposure to
be used in defining the target parameter. This is defined with respect to
the scale of the exposure (A).
|
gn_pred_natural |
A matrix of conditional density estimates of
the exposure mechanism g(A|W) along a grid of the regularization parameter,
at the natural (observed, actual) values of the exposure.
|
gn_pred_shifted |
A matrix of conditional density estimates of
the exposure mechanism g(A+delta|W) along a grid of the regularization
parameter, at the shifted (counterfactual) values of the exposure.
|
Qn_pred_natural |
A numeric of the outcome mechanism estimate at
the natural (i.e., observed) values of the exposure. HAL regression is used
for the estimate, with the regularization term chosen by cross-validation.
|
Qn_pred_shifted |
A numeric of the outcome mechanism estimate at
the shifted (i.e., counterfactual) values of the exposure. HAL regression
is used for the estimate, with the regularization term chosen by
cross-validation.
|