Computation of targeted maximum likelihood (TML) estimates of the
population-level causal effect of a continuous-valued intervention based on
a simple stochastic treatment assignment mechanism, defined as the
counterfactual mean of the outcome of interest under an additive shift of
the observed (natural) value of the intervention. To accommodate settings in
which two-phase sampling is employed, an inverse probability of censoring
weighted (IPCW) TML estimator for the counterfactual mean under the
stochastic intervention is available, alongside procedures facilitating
robust estimation of nuisance parameters in a manner ensuring nonparametric
efficiency of the IPCW-TML estimator of the causal parameter.

txshift()

## References

- Documentation:
https://code.nimahejazi.org/txshift

- GitHub repository:
https://github.com/nhejazi/txshift