tmle_extract: Extract TSM and ATE from a tmle object

In nt-williams/tmleExtract: Extract treatment specific mean estimates in a tidy format.

Description

Extract TSM and ATE from a tmle object

Usage

tmle_extract(fit, obs_a, obs_y)

Arguments

fit	a TMLE model from the tmle package
obs_a	A vector of the observed binary exposures
obs_y	A vector of the observed outcomes

Value

A list of class tmleExtract with elements tsm (the extract estimates) and IF a dataframe with the elements used to extract such estimates.

Examples

library(tmleExtract)
library(tmle)

set.seed(1)
n <- 250
W <- matrix(rnorm(n*3), ncol=3)
A <- rbinom(n,1, 1/(1+exp(-(.2*W[,1] - .1*W[,2] + .4*W[,3]))))
Y <- A + 2*W[,1] + W[,3] + W[,2]^2 + rnorm(n)
tmle_fit <- tmle(Y,A,W, Q.SL.library = "SL.glm", g.SL.library = "SL.glm")

tmle_extract(tmle_fit, A, Y)

nt-williams/tmleExtract documentation built on Feb. 28, 2020, 6:32 p.m.