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/py-why/EconML 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/py-why/EconML is a good alternative to causalglm