Travis Gerke

This is an _excellent_ suggestion, thank you!! I'll incorporate in the next round of changes.

another good review of causal ML approaches just out in [preprint](https://arxiv.org/pdf/2206.15475.pdf)

The ML in mediation example we discussed: https://academic.oup.com/ectj/article/25/2/277/6517682 with R implementation in the `medDML` function of `{causalweight}` https://cran.r-project.org/web/packages/causalweight/index.html

and an R bloggers example of cross-fitting! https://www.r-bloggers.com/2017/06/cross-fitting-double-machine-learning-estimator/

holy moly even Jamie in on this game: https://economics.mit.edu/files/12538 and here's the R code: https://github.com/VC2015/DMLonGitHub/ See last paragraph of page 10 into page 11 that gives really good background with...

Great idea, will bring this in over the coming days.

 source: https://www.gemini.edu/gallery/media/m8-lagoon-nebula

## DQS  ## BI  ## IT-1  ## IT-2  ## IT-3  ## CDSC  source: Hand vector created by freepik - www.freepik.com

## CDO  ## HI       source: Technology vector created by brgfx - www.freepik.com