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**Description of the bug**
I am revisiting the analysis of [Athey and Wager (2019)](https://muse.jhu.edu/article/793356/pdf). I am interested in running a falsification analysis where the causal fore…
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like this:
https://www.rdocumentation.org/packages/grf/versions/0.10.1/topics/tune_causal_forest
for example, this is the key paper on the topic: https://dl.acm.org/citation.cfm?id=2177404
though…
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Hi,
Thanks for providing and maintaining such a great grf pkg! I just wonder if there is or will be any version for Spark. Or do you know how we can implement this causal forest in Spark? Thank you…
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policy_tree() can't scale to my data size (100000 obs, 200 dimensional state/covariate, 20 actions) but multi_causal_forest() can scale, can I just use argmax of multi-action treatment effect estimati…
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Hi, thank you very much for helping out.
I am working on a paper where everyone is treated at some point in time, and the year of treatment differs between people. I am estimating then the treatmen…
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I am wondering what is the correct approach when using DoWhy/EconML with Causal Forest on Panel data with Fixed time and firm effects or fixed time and industry effects after being sure that these eff…
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Is it possible to estimate the covariance of predictions made using a causal or regression forest or are there any plans to implement such a feature?
Such estimates would be very useful for analyz…
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Hello!
I didn't see any examples where there existed a discrete treatment with multiple values (>2) and a binary outcome. I am hopeful someone can confirm my understanding.
This data set is from…
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Hi.
I just installed 'EconML' and I have problems in calculating heterogeneous effects for each individual of my test-set database.
This is not a problem with my PC but with the library in gener…
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**Is your feature request related to a problem? Please describe.**
Given any tree model, we can fit a causal tree by expanding the `fit` API to allow a treatment group to be passed in.
**Describe…