tmle3

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... in a scenario where both Actual Design and Adaptive Design candidate have a vector of pre-specified treatment probability, rather than a function.

WenxinZhang25

rachaelvp

Hi, We are using tmle3 with several (more than 2) treatment groups and a binary outcome. There is no loss to follow-up. We calculated a weight to adjust for non-random...

mpetukh

Supports general submodels and a bunch of new parameters

1

Changes: 1. Supports general submodels (see submodels.R and the .submodel private field in Param_base, and changes to tmle3_Updater). The most straightforward way is to specify an error distribution for the...

Larsvanderlaan

Survival tmle is not clear what it is doing with targeted_times

2

Thanks for a swift reply in advance!!!!! This concerns Chapter 11 of the tlverse handbook on survival. It is not clear what time points are being targeted. The Grid for...

jlstiles

Got following warning message when using "tmle_stratified" from Param_stratified.R to fit tmle. The issue happened at line 303 of tmle3_Update.R. Seems the "private$.targeted_components" is shorter than "ED" because it considers...

HaodongL

Categorical outcome support

1

Does tmle3 support categorical outcomes? If not, can this be intercepted and and produce an error before fitting SL?

rachaelvp

How to handle high-dimensional covariates? (or just fitting a propensity model)

3

I am unable to locate documentation on whether tmle3 can handle user-specified propensity scores or how to fit a propensity score model within tmle3 prior to fitting the outcome model....

adeldaoud

* Add sampling support to `Lf_known` * Add a node property detailing whether or not this node is observed. This helps generate a sample of observable data for estimation, vs...

jeremyrcoyle

ATT/ATC incorrectly updating A

4

The ATT parameter targets both the A node and Y node. However (in the spec), the likelihood factor for "A" is of type "likelihood" while the likelihood factor for "Y"...

Larsvanderlaan