CausalKit#
Evaluate the impact of the treatment on the outcome metric within the sample population, while controlling for confounding factors, to inform resource allocation decisions.
CausalKit simplifies the process of conducting causal inference studies by providing:
RCT Inference: Estimate effect in your AB test
Observational Data Inference: Estimate effect on observational data
Installation#
Install from github directly
pip install git+https://github.com/ioannmartynov/causalkit.git
Then import the library
import causalkit
Scenarios Covered#
Is RCT |
Treatment |
Outcome |
EDA |
Estimands |
Refutation |
Docs |
|---|---|---|---|---|---|---|
Observational |
Binary |
Continuous |
Yes |
ATE |
Yes |
Example |
Observational |
Binary |
Continuous |
Yes |
ATT |
Yes |
Example |