We are happy to announce that we can finally answer the question on how to cite mlr properly in publications.
Our paper on mlr has been published in the open-access Journal of Machine Learning Research (JMLR) and can be downloaded on the journal home page.
The paper gives a brief overview of the features of mlr and also includes a comparison with similar toolkits. For an in-depth understanding we still recommend our excellent online mlr tutorial which is now also available as a PDF on arxiv.org or as zipped HTML files for offline reading.
Once mlr 2.10 hits CRAN you can retrieve the citation information from within R:
citation("mlr")
Bischl B, Lang M, Kotthoff L, Schiffner J, Richter J, Studerus
E, Casalicchio G, Jones Z (2016). "mlr: Machine Learning in
R." _Journal of Machine Learning Research_, *17*(170), 1-5.
<URL: https://jmlr.org/papers/v17/15-066.html>.
Lang M, Kotthaus H, Marwedel P, Weihs C, Rahnenfuehrer J,
Bischl B (2014). "Automatic model selection for
high-dimensional survival analysis." _Journal of Statistical
Computation and Simulation_, *85*(1), 62-76.
Bischl B, Kuehn T, Szepannek G (2016). "On Class Imbalance
Correction for Classification Algorithms in Credit Scoring."
In _Operations Research Proceedings 2014_, 37-43. Springer.
Bischl B, Richter J, Bossek J, Horn D, Thomas J, Lang M
(2017). "mlrMBO: A Modular Framework for Model-Based
Optimization of Expensive Black-Box Functions." _arXiv
preprint arXiv:1703.03373_.
Probst P, Au Q, Casalicchio G, Stachl C, Bischl B (2017).
"Multilabel Classification with R Package mlr." _arXiv
preprint arXiv:1703.08991_.
Casalicchio G, Bossek J, Lang M, Kirchhoff D, Kerschke P,
Hofner B, Seibold H, Vanschoren J, Bischl B (2017). "OpenML:
An R package to connect to the machine learning platform
OpenML." _Computational Statistics_, 1-15.
To see these entries in BibTeX format, use 'print(<citation>,
bibtex=TRUE)', 'toBibtex(.)', or set
'options(citation.bibtex.max=999)'.