Estimate projection of EIF on fully-observed variables

Estimate projection of EIF on fully-observed variables

estimate_eif_projection(
  obs_grad = NULL,
  C = NULL,
  Z = NULL,
  ipc_fit_type = NULL,
  ipc_eif_preds = NULL,
  ...
)

Arguments

obs_grad

the estimated (observed) EIF

C

the indicator of coarsening (1 denotes observed, 0 denotes unobserved).

Z

either NULL (if no coarsening) or a matrix-like object containing the fully observed data.

ipc_fit_type

if "external", then use ipc_eif_preds; if "SL", fit a SuperLearner to determine the IPC correction to the efficient influence function.

ipc_eif_preds

if ipc_fit_type = "external", the fitted values from a regression of the full-data EIF on the fully observed covariates/outcome; otherwise, not used.

...

other arguments to SuperLearner, if ipc_fit_type = "SL".

Value

the projection of the EIF onto the fully-observed variables