Function to evaluate the canonical gradient of the indirect effect through M1 at a given set of estimated nuisance parameters and for each observation.

Source: R/evaluate_eif.R

Function to evaluate the canonical gradient of the indirect effect through M1 at a given set of estimated nuisance parameters and for each observation.

evaluate_eif_indirect_M1(
  Y,
  A,
  M1,
  M2,
  Qbar,
  Q_M,
  Qbarbar,
  gn,
  a,
  a_star,
  all_mediator_values,
  ...
)

Arguments

Y

The outcome
A

The treatment
M1

First mediator
M2

Second mediator
Qbar

Outcome regression list
Q_M

Mediator distribution list
Qbarbar

A list; needs to have entries named M1_M2_a and M1_star_M2_star_a_star corresponding to, respectively, the outcome regression under A = a, marginalized with respect to joint mediator distribution given C and A = a, and the outcome regression under A = a_star, marginalized with respect to the joint mediator distribution given C and A = a_star.
gn

List of mediator values
a

Treatment value
a_star

Referent treatment value