R/eyATE_funs.R

In jeremyrcoyle/gentmle: Skeleton for General TMLEs

############## TMLE targeting EYATE
#' @export
eyATE_update <- function(tmledata, Q.trunc = 0.001, ...) {
    subset <- with(tmledata, which(0 < Qk & Qk < 1))
    eps_q <- 0
    
    # fluctuate Q
    tmledata$Qktrunc <- with(tmledata, truncate(Qk, Q.trunc))
    qfluc <- logit_fluctuate(tmledata, Y ~ -1 + HA + offset(qlogis(Qktrunc)))
    eps_q <- qfluc$eps
    tmledata$Qk <- with(tmledata, plogis(qlogis(Qktrunc) + HA * eps_q))
    tmledata$Q1k <- with(tmledata,plogis(qlogis(Q1k)+H1*eps_q))
    tmledata$Q0k <- with(tmledata,plogis(qlogis(Q0k)+H0*eps_q))
    # tmledata$Qk=qfluc$update
    
    
    list(tmledata = tmledata, coefs = c(eps_q))
    
}

#' @export
eyATE_estimate <- function(tmledata, ...) {
    
    psi <- mean(tmledata$Q1k-tmledata$Q0k)
    
    tmledata$H1 <- with(tmledata, (1/gk))
    tmledata$H0 <- with(tmledata,-1/(1-gk))
    tmledata$HA <- with(tmledata, (A * H1+(1-A)*H0))
    
    # influence curves
    Dstar_psi <- with(tmledata, HA * (Y - Qk) + Q1k-Q0k - psi)
    
    list(tmledata = tmledata, ests = c(psi = psi), Dstar = list(Dstar_psi = Dstar_psi))
    
}