Potential outcomes based causal inference for applied researchers

thinkCausal is federally funded project devoted to building scaffolded causal inference software implementing Bayesian Additive Regression Trees. You can find a live, beta version here.

See also the R packages bartCause and plotBart for much of the underlying causal inference functionality.

thinkCausal is managed by NYU PRIISM and is open to contributions. If you’d like to contribute to this project, please see the contribution guidelines.

Local installation

You can run the latest development version locally by executing the below R code:

remotes::install_github('priism-center/thinkCausal_dev', subdir = 'thinkCausal')

2022 December
Find the code here: