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It would make sense to compare our results for the semiparametric estimation approach (particularly the mte results) with the ones obtained from competing R packages. For this purpose I would suggest the following procedure:
Simulate (lets say 100) data sets with our simulation routine (and save the associated init files in a json file)
Write an R script that computes the MTE for each of this simulated samples and save the results in a json file
Include a regression test in our current test frame work in which we estimate the mte with grmpy and compare the resulting mte with the one obtained from our R script
The text was updated successfully, but these errors were encountered:
It would make sense to compare our results for the semiparametric estimation approach (particularly the mte results) with the ones obtained from competing R packages. For this purpose I would suggest the following procedure:
Simulate (lets say 100) data sets with our simulation routine (and save the associated init files in a json file)
Write an R script that computes the MTE for each of this simulated samples and save the results in a json file
Include a regression test in our current test frame work in which we estimate the mte with grmpy and compare the resulting mte with the one obtained from our R script
The text was updated successfully, but these errors were encountered: