dscolby / CausalELM.jl

Taking causal inference to the extreme!
https://dscolby.github.io/CausalELM.jl/
MIT License
21 stars 0 forks source link

Refactor #58

Closed dscolby closed 2 months ago

dscolby commented 2 months ago

This PR includes macros for defining fields for estimator structs, fixes the type instability when estimating causal effects for G-computation and S-learning, decouples estimating causal effects for double machine learning and R-learning, adds doctests where practical, gets rid of unnecessary constructors, and ensures code complies with Aqua.jl and Blue recommendations.

codecov-commenter commented 2 months ago

Welcome to Codecov :tada:

Once you merge this PR into your default branch, you're all set! Codecov will compare coverage reports and display results in all future pull requests.

Thanks for integrating Codecov - We've got you covered :open_umbrella: