tmle3shift
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🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions
Hello @nhejazi, I'm new to TMLE and attempting mediation analysis with continuous data. I came across your packages, tmle3mediate and tmle3shift, and believe they could be valuable for my work....
I ran the test suite with `options(warn = 2)` and it generated some failures: ``` ── Error (test-bound.R:61:3): bounds are being respected in submodel ─────────────────────────── Error in `max(Q_submodel)`: (converted from...
It would be desirable to implement the original version of the algorithm for the TMLE of a counterfactual mean under a stochastic intervention, as described in https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4117410/
A proposal for a stochastic intervention that moves the natural value of the treatment as much as is possible, given the observed data, exists. Implementing such a shift requires that...
Theoretically, it should be sound to perform variable importance assessment based on a grid of counterfactual shift values with nominal variables; however, in practice, such variables (even when converted via...
It would generally be of interest to be able to effectively compare the counterfactual outcome under two posited values of a stochastic intervention. This would be a rather simple application...