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Hello¡
I'm trying to use the BootEff() function in a psem model composed of lmer models with some interaction terms (code attached at the end). I always get this error:
**Warning message:
In (fun…
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Hi there,
I'd like to request support for models of class "MP" and "AGGTEobj" generated by the `[did](https://github.com/bcallaway11/did/)` functions `att_gt()` and `aggte()`.
My main motivatio…
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Hi!
Thanks for the awesome package!
I am doing a research project and try to assess the impact of Renewable Portfolio Standards on green innovation (in form of patent data) in US states. In my cas…
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Recently I am trying to use the **multi_arm_causal_forest** to deal with a multi-treatment problem. Our experiment has one control and two treatments conditions. There is also a natural order associat…
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I have a quick question about obtaining odds ratios vs risk ratios for a binary outcome using avg_comparisons() after matching. I was reading the tutorial materials (thank you for the great materials!…
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Putting this here so as not to forget it:
https://htmlpreview.github.io/?https://github.com/acoppock/Green-Lab-SOP/blob/master/Green_Lab_SOP.html#standard-errors-confidence-intervals-and-significance…
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I'm interested in the structure of Causal Forests, and especially in the criteria used to select the splits. With `get_tree` I was able to access the structure, but this does not seem to include this …
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### Description of Feature
Our team would love the ability to view the treatment effects over time, indexing by the number of days since exposure. For example, the x-axis would be 1, 2, 3, etc. for…
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Currently the Orthogonal Random Forest module only supports giving the treatment effects of n treatment on the test set X_test. It would be helpful if there is a method to get the predicted Y of X_tes…