doubleml-for-r
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DoubleML
DoubleML - Double Machine Learning in R
In the python package `DoubleML`, we do have unit tests for model defaults, see https://github.com/DoubleML/doubleml-for-py/blob/master/doubleml/tests/test_doubleml_model_defaults.py. The intention behind such "default setting unit tests" is twofold: 1. It should assert that...
When applying `pkgdown` to build our docu we get a depreciation warning: ```R [WARNING] Deprecated: markdown_github. Use gfm instead. ```
* Add DGP according to Belloni et al. (2012) * Update PartialZ case with/without covariates
I'm having some trouble with the PLIV on R. It doesn't appear to support binary treatments as it doesn't let you do a classifier for `ml_r`. Am I doing something...
There is no exception handling in-place in case some learner produces infinite or missing predictions. Basically, very silently the estimates are becoming `NA`'s without a warning or exception. See for...
Some of our unit tests just take too long. With `ON_CRAN='false'` it takes around 30 minutes on github actions. We should find better parametrization while keeping a similar level of...
does the DoublML package have the option to output the residuals of the nuisance models, for example when computing RMSE for predicting D and Y, in order to compare different...
See https://twitter.com/natfriedman/status/1420122675813441540 & https://github.com/citation-file-format/citation-file-format.
Calling ``` dml_plr_obj = DoubleMLPLR$new(make_plr_CCDDHNR2018(), lrn("regr.ranger"), lrn("regr.ranger"), draw_sample_splitting = FALSE) dml_plr_obj$fit() ``` produces error message ``` Error in .__ResamplingCustom__instantiate(self = self, private = private, : Assertion on 'train_sets' failed: Must...
We use a lot of `helper*` files in our unit tests. However, `helper*` files are no longer / not recommended by `testthat`. So we may want to check whether `setup*`...