bartCause
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vdorie
Causal Inference using Bayesian Additive Regression Trees
The number of confounders / length of confounder names is currently being limited by the call to `deparse` [here](https://github.com/vdorie/bartCause/blob/f84a1d19bbf8a9c0bbed7326cf12e8fc03f608a1/R/treatmentFit.R#L121C9-L121C93) This results many confounders being deparsed to `"one + two +...
To handle missing data in covariates that will be ultimately used in BART, is there a particular imputation technique (if any) or a standard protocol that you recommend we use...
Hello, I am interested in using the bartcause package for causal inference using a time-to-event binary outcome. In other words, using BART, I would like to estimate CATEs that are...
I'm not sure how to access to `icate` and `ite`... As far as I can tell `extract(model, type = "icate")` and `extract(model, type = "ite")` don't return the _individual_ treatment...
Hi, Could I request a vignette that goes over examples on how to use bartc with applied data? How to deal with missing data, multilevel structure etc and any other...
I was unable to install this package on my R 4.0.4 machine and tracked the issue down to line 424 in generics.R file: ` try_result
Hi - I wanted to ask what the difference is between using IPTW weights in the 'weights' option vs specifying the method.rsp = "p.weight" option. My basic understanding is that:...
I am almost always getting non-significant results with _bartCause_ and almost always getting very significant results with the _tmle_ package (when only using dbarts in tmle). I have no idea...
Hi! Great package. Thanks for pulling this off. I was wondering is there is a way to use this package to make individual level treatment effect predictions. That is, I...
