Merge pull request #173 from DoubleML/m-ack-dfg

Add DFG funding ack

Author: MalteKurz

README.Rmd

@@ -110,8 +110,15 @@ Bibtex-entry:
 }
 ```
 
+## Acknowledgements
+
+Funding by the Deutsche Forschungsgemeinschaft (DFG, German Research
+Foundation) is acknowledged – Project Number 431701914.
+
 ## References
 
+* Bach, P., Chernozhukov, V., Kurz, M. S., and Spindler, M. (2021), DoubleML - An Object-Oriented Implementation of Double Machine Learning in R, arXiv:[2103.09603](https://arxiv.org/abs/2103.09603). 
+
 * Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W. and Robins, J. (2018), Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal, 21: C1-C68, <https://doi.org/10.1111/ectj.12097>.
 
 * Lang, M., Binder, M., Richter, J., Schratz, P., Pfisterer, F., Coors, S., Au, Q., Casalicchio, G., Kotthoff, L., Bischl, B. (2019), mlr3: A modern object-oriented machine learing framework in R. Journal of Open Source Software, <https://doi.org/10.21105/joss.01903>.

README.md

@@ -88,14 +88,14 @@ remotes::install_github("DoubleML/doubleml-for-r")
 
 **DoubleML** requires
 
--   R (>= 3.5.0)
--   R6 (>= 2.4.1)
--   data.table (>= 1.12.8)
+-   R (\>= 3.5.0)
+-   R6 (\>= 2.4.1)
+-   data.table (\>= 1.12.8)
 -   stats
 -   checkmate
--   mlr3 (>= 0.5.0)
--   mlr3tuning (>= 0.3.0)
--   mlr3learners (>= 0.3.0)
+-   mlr3 (\>= 0.5.0)
+-   mlr3tuning (\>= 0.3.0)
+-   mlr3learners (\>= 0.3.0)
 -   mvtnorm
 -   utils
 -   clusterGeneration
@@ -130,8 +130,17 @@ Bibtex-entry:
           note={arXiv:\href{https://arxiv.org/abs/2103.09603}{2103.09603} [stat.ML]}
     }
 
+## Acknowledgements
+
+Funding by the Deutsche Forschungsgemeinschaft (DFG, German Research
+Foundation) is acknowledged – Project Number 431701914.
+
 ## References
 
+-   Bach, P., Chernozhukov, V., Kurz, M. S., and Spindler, M. (2021),
+    DoubleML - An Object-Oriented Implementation of Double Machine
+    Learning in R, arXiv:[2103.09603](https://arxiv.org/abs/2103.09603).
+
 -   Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen,
     C., Newey, W. and Robins, J. (2018), Double/debiased machine
     learning for treatment and structural parameters. The Econometrics