Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Why do you think that https://github.com/mlr-org/mlr3 is a good alternative to causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Why do you think that https://github.com/mlr-org/mlr3 is a good alternative to causalglm