Regarding model calibration and discrimination performance of individual treatment effect calculated from causal_survival_forest function.

[ghost]

I was wondering if you might be able to help me with using the causal_survival_forest function to estimate individual treatment effect in R environment.
I am having some difficulty understanding how to assess model calibration and check discrimination performance when using this function.
Would you happen to have any recommendations or resources that might be helpful in this regard? I would really appreciate any guidance you might be able to provide.

[ghost]

I really appreciate you sharing this excellent package with us.

[erikcs]

Hi @fukuokaya, you could look at the TOC/RATE, an intro is here.