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Thank you so much for all your work on mixed models throughout the R ecosystem!
I found these pages as a great summary of how mixed models are available within R. One thing that I have not found i…
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Hello,
The standard practice for analysis would be to join layers with the command:
`srat_merged_object[["RNA"]]
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### Describe the feature you want to propose or implement
Would be nice to extend the `DoubleMLIRM` class to accommodate multiple discrete-valued treatments $w \in \mathcal{W}$, where the estimation …
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Hi there,
The rpart function [xpred.rpart ](https://www.rdocumentation.org/packages/rpart/versions/4.1-11/topics/xpred.rpart) is supposed to return predicted values from a tree under cross-validati…
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Is there a way to generate a dose-response or causal curve with grf, something akin to what is afforded with the python TMLE Regressor Tool ([
[TMLE_Regressor Tool (continuous treatments, continuous …
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Hi,
I'm trying to obtain period-by-period treatment effects and permutation tests. Because `microsynth` computes the cumulative sum of treatment effects up to `end.post`, and then conducts inferenc…
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Thank you again for this amazing GSC R package. I am curious what formulas does the cumuEff function use to calculate cumulative treatment effects? My understanding of cumulative treatment effects (cu…
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I am now using the lm_forest() function to estimate multiple continuous treatment effects. I am interested in estimating the average treatment effect using this function. Is there any way to help comp…
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Thanks for your work on the margins package.
We would like to estimate average treatment effects on a different population than our survey population. One technique to do this is poststratification…
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Dear all,
Thank you for solving so many questions related to the CF.
I have another question/verification issue related to the covariates used in the causal_forest function.
I use one-hot-…