Target the iterated regressions
target_Qbarbar( Qbar, Qbarbar, Y, A, a, a_star, gn, M1, M2, all_mediator_values, max_iter, tol = 1/(sqrt(length(Y)) * log(length(Y))) )
Qbar | Outcome regression estimates |
---|---|
Qbarbar | Iterated mean estimates |
Y | A vector of continuous or binary outcomes. |
A | A vector of binary treatment assignment (assumed to be equal to 0 or 1). |
a | The label for the treatment. The effects estimates returned pertain
to estimation of interventional effects of |
a_star | The label for the treatment. The effects estimates returned pertain
to estimation of interventional effects of |
gn | Power users may wish to pass in their own properly formatted list of the
propensity score so that
nuisance parameters can be fitted outside of |
M1 | A |
M2 | A |
all_mediator_values | All combinations of M1 and M2 |
max_iter | The maximum number of iterations for the TMLE |
tol | The tolerance for stopping the iterative targeting procedure. |
A list containing all outcome regression evaluations needed for downstream calculations.