gcasamat
gcasamat
Hi, the causal_forest function of the R grf package has a very useful option 'clusters', that allows for cluster-robust estimation. I wonder if there is any plan to implement this...
The following estimation works fine: ``` est = LinearDML(model_y = LinearRegression() , model_t = LogisticRegression() , discrete_treatment = True, random_state = 123) est.fit(y, T, X=None, W = W) ``` However...
Hi, Thanks for this fantastic package! I have an issue related to the output of the clustering algorithm. I have runned the following code in python: ``` os.system("java -cp /Applications/networkanalysis/networkanalysis-1.3.0.jar...
Hi, thanks for this very useful package. I would like to compute SHAP values of a causal forest model. I ran a code similar to the one given in [https://skgrf.readthedocs.io/en/latest/tree/tree_interface.html#shap](url)...
I would like to know if it is possible to recover the estimates of a simple linear regression. I would have thought that fitting a LinearDML algorithm with (1) LinearRegression()...