stremr
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romainkp
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Is it possible to use stremr without a monitoring variable? There does not seem to be a default for MONITOR in defineIntervedTRT(), so do I have to construct a pseudo...
The trial is a sequentially randomized trial with possible re-randomization based on previous response. At baseline, participants are randomized 1:1:1 into three arms, texting intervention, mobile app intervention, and standard...
The results tables provided by estimating functions are poorly documented. This could be used as a start: https://github.com/osofr/stremr/#simulated-data-example
Hello, I mentioned this in person but thought I'd start a quick feature request issue to support observation weights. I believe Mark is on board with simply passing the weights...
Sometimes the user may set the intervention node (g^*) to `NA`. If this value is actually being applied, then we should produce a warning, since the resulting weights will be...
See `stats::isoreg(y = y, x = ...)`
- Describe the output results table(s) for each function - Define each column and describe what it contains) For example: ``` est_name time sum_Y_IPW sum_IPW St.directIPW rule.name 1: directIPW 0...
All the functionality is already there, except that extraction of the prediction results requires writing custom access functions. Specifically we need to extract the final predictions for each strata of...
When doing Q learning, especially with stratification, a single algorithm might fail. In this case a fall back fitting either with glm or speedglm should be performed. For some reason...