View source: R/ltmleMediation_TMLECalcs.R
UpdateQMediation | R Documentation |
Update the initial fit of Q using clever covariates.
UpdateQMediation( Qstar.kplus1, logitQ, combined.summary.measures, cum.g, cum.q.ratio, working.msm, uncensored, intervention.match, is.deterministic, msm.weights, gcomp, observation.weights )
Qstar.kplus1 |
Estimate of the expectation with respect to the distribution of the node one ahead of the current node given the past (dimension: n x num.regimes). |
logitQ |
logit predicted values of Q for the current node, as estimated by |
combined.summary.measures |
TO DO (dimension: n x num.measures x num.regimes, where num.measures=num.summary.measures + num.baseline.covariates). |
cum.g |
Cumulative g estimate up to the most recent AC node. (dimension: n x num.regimes x num.measures) |
cum.q.ratio |
Cumulative Q estimate ratio of following abar.prime regime and following abar regime. (dimension: n x num.regimes x num.measures) |
working.msm |
Working marginal structural model. |
uncensored |
Uncensored samples. |
intervention.match |
Samples with exposure that matches intervention (dimension: n x num.regimes). |
is.deterministic |
Logical variable indicating samples deterministic due to death or deterministic Q. |
msm.weights |
Marginal structural model weights (dimension: n x num.regimes). |
gcomp |
Logical indicating whether to use Gcomp instead (no updating if TRUE). |
observation.weights |
Sample weights. |
Returns updated estimate of Q, unless gcomp=TRUE or no samples left for estimation purposes. The output also includes the offset (initial estimate of Q for the current node), fluctuation model, and the clever covariate.
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