drinf.tmle | R Documentation |
This function computes the time-varying covariate-adjusted mean of an outcome under a specified treatment assignment using targeted minimum loss-based estimation.
drinf.tmle(L0, L1, L2, A0, A1, abar = c(1, 1), stratify = TRUE,
SL.Q = NULL, SL.g = NULL, SL.Qr = NULL, SL.gr = NULL, glm.Q = NULL,
glm.g = NULL, guard = c("Q", "g"), universal = FALSE,
universalStepSize = 1e-04, printFreq = 50, flucOrd = c("targetQ2",
"targetQ1", "targetg1", "targetg0"), return.models = FALSE, maxIter = 20,
tolIF = 1/(length(L2)), tolg = 1e-08, tolQ = 1e-08, verbose = TRUE,
SL.Q.options = list(family = gaussian()), SL.g.options = list(family =
binomial()), glm.Q.options = list(family = gaussian()),
return.ltmle = TRUE, only.ltmle = FALSE, return.naive = TRUE,
cvFolds = 1, ...)
L0 |
A |
L1 |
A |
L2 |
A |
A0 |
A |
A1 |
A |
abar |
A |
stratify |
A |
SL.Q |
A |
SL.g |
A |
SL.Qr |
A |
SL.gr |
A |
glm.Q |
A |
glm.g |
A |
guard |
A |
universal |
A |
universalStepSize |
A |
return.models |
A |
maxIter |
A |
tolIF |
A |
tolg |
A |
tolQ |
A |
verbose |
A |
SL.Q.options |
A |
SL.g.options |
A |
glm.Q.options |
A |
return.ltmle |
A |
only.ltmle |
Only return ltmle (for bootstrapping) |
return.naive |
A |
... |
Other arguments (not currently used) |
TO DO: Add return values
TO DO : Add Examples
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