Causal inference packages for RWE and Observational data - a curated list

Causal inference packages for RWE and Observational data - a curated list

You may find the full list at adatascience.com by navigating to Free Resources or directly here https://adatascience.com/causal-inference-packages-in-r-for-rwe-and-observational-data.

The list is curated based on potential use cases for RWE (Real World Evidence) / Observational data.

The fields covered by the packages :

Propensity scores

Inverse probability weighting

Covariate Balanced Propensity scores

Entropy weighting

Matching for Causal inference

Causal inference diagnostics

Instrumental variables

Mendelian Randomization

This edition was based mostly on non-ML approaches. In some of the next edition Causal ML packages will be a dedicated version at 'Advanced Stats and Data Science' and 'ADataScience'. Also next versions will include the advanced Python packages for this field too.


by Darko Medin


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