evaluate_eif_total: Function to evaluate the canonical gradient of the total...
In benkeser/intermed:

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

1	evaluate_eif_total(Y, A, Qbarbar, gn, a, a_star, ...)

`Y`	The outcome
`A`	The treatment
`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