-
I have a real data example
[problemData.csv](https://github.com/user-attachments/files/15961103/problemData.csv)
which involves treatment(trt), location(loc) and replication(rep, a block nested wit…
-
Hi,
Thanks for this great package for implementing CS DID. When I try to use it in my project, I found after estimating ATT, there is no command to calculate `post_avg_att - pre_avg_att`.
For ex…
-
Thank you for all your work on this,
I looking around trying to find a way to estimate fixed effects and their respective standard errors for all categorical levels of interest.
For example, if…
-
Hi, I'm trying to do policy optimization using YLearn. I have read the docs about this but didn't understand the meaning very well. Formally, a policy optimization problem can be written as: $x^{*}=\t…
-
### Background of rma.mv function:
Standard meta-analytic models assume independence between the observed effect sizes or outcomes obtained from a set of studies. This assumption is often violated…
-
Sir natural herbal treatment to100% end covid19.no side effects
-
Incredible package folks!
Currently I'm trying to understand how econml.grf.CausalForest handles multiple treatments, but am struggling to find it in the code. Most of the cited papers by Athey see…
-
Hey, I'm getting started with CATE models in econml and I have been exploring examples for discrete treatments with p > 2. Is there in-built support for these, and how can I formulate such an example?…
-
Dear Authors
Thanks for your great work.
I am trying to use the DeepIVEstimator to estimate treatment effect for a dataset. I am getting different estimated treatment effect each time I run the es…
-
`Effect_plot is only possible for models with 1-dimensional treatment effects `
`forest_plot only works with 1-dimensional effects`
```
K