| BBmisc | Miscellaneous Helper Functions for B. Bischl Bernd Bischl , Michel Lang , Jakob Bossek , Daniel Horn , Jakob Richter , Dirk Surmann |
| BatchExperiments | Statistical Experiments on Batch Computing Clusters Bernd Bischl , Michel Lang , Olaf Mersmann |
| BatchJobs | Batch Computing with R Bernd Bischl , Michel Lang , Henrik Bengtsson |
| OpenML | Open Machine Learning and Open Data Platform Giuseppe Casalicchio , Bernd Bischl , Dominik Kirchhoff , Michel Lang , Benjamin Hofner , Jakob Bossek , Pascal Kerschke , Joaquin Vanschoren |
| ParamHelpers | Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning Bernd Bischl , Michel Lang , Jakob Richter , Jakob Bossek , Daniel Horn , Karin Schork , Pascal Kerschke |
| backports | Reimplementations of Functions Introduced Since R-3.0.0 Michel Lang , R Core Team |
| base64url | Fast and URL-Safe Base64 Encoder and Decoder Michel Lang , Apache Foundation , Free Software Foundation |
| batchtools | Tools for Computation on Batch Systems Michel Lang , Bernd Bischl , Dirk Surmann |
| bbotk | Black-Box Optimization Toolkit Marc Becker , Jakob Richter , Michel Lang , Bernd Bischl , Martin Binder , Olaf Mersmann |
| checkmate | Fast and Versatile Argument Checks Michel Lang , Bernd Bischl , Dénes Tóth |
| data.table | Extension of 'data.frame' Tyson Barrett , Matt Dowle , Arun Srinivasan , Jan Gorecki , Michael Chirico , Toby Hocking , Pasha Stetsenko , Tom Short , Steve Lianoglou , Eduard Antonyan , Markus Bonsch , Hugh Parsonage , Scott Ritchie , Kun Ren , Xianying Tan , Rick Saporta , Otto Seiskari , Xianghui Dong , Michel Lang , Watal Iwasaki , Seth Wenchel , Karl Broman , Tobias Schmidt , David Arenburg , Ethan Smith , Francois Cocquemas , Matthieu Gomez , Philippe Chataignon , Nello Blaser , Dmitry Selivanov , Andrey Riabushenko , Cheng Lee , Declan Groves , Daniel Possenriede , Felipe Parages , Denes Toth , Mus Yaramaz-David , Ayappan Perumal , James Sams , Martin Morgan , Michael Quinn , @javrucebo , @marc-outins , Roy Storey , Manish Saraswat , Morgan Jacob , Michael Schubmehl , Davis Vaughan , Leonardo Silvestri , Jim Hester , Anthony Damico , Sebastian Freundt , David Simons , Elliott Sales de Andrade , Cole Miller , Jens Peder Meldgaard , Vaclav Tlapak , Kevin Ushey , Dirk Eddelbuettel , Benjamin Schwendinger , Tony Fischetti , Ofek Shilon , Vadim Khotilovich , Hadley Wickham , Bennet Becker , Kyle Haynes , Boniface Christian Kamgang , Olivier Delmarcell , Josh O'Brien , Dereck de Mezquita , Michael Czekanski |
| digest | Create Compact Hash Digests of R Objects Dirk Eddelbuettel with contributions by Antoine Lucas , Jarek Tuszynski , Henrik Bengtsson , Simon Urbanek , Mario Frasca , Bryan Lewis , Murray Stokely , Hannes Muehleisen , Duncan Murdoch , Jim Hester , Wush Wu , Qiang Kou , Thierry Onkelinx , Michel Lang , Viliam Simko , Kurt Hornik , Radford Neal , Kendon Bell , Matthew de Queljoe , Ion Suruceanu , Bill Denney , Dirk Schumacher , Winston Chang , Dean Attali , Michael Chirico. |
| evaluate | Parsing and Evaluation Tools that Provide More Details than the Default Hadley Wickham , Yihui Xie , Michael Lawrence , Thomas Kluyver , Jeroen Ooms , Barret Schloerke , Adam Ryczkowski , Hiroaki Yutani , Michel Lang , Karolis Koncevičius , Posit Software , PBC |
| fail | File Abstraction Interface Layer (FAIL) Michel Lang |
| mlr | Machine Learning in R Bernd Bischl , Michel Lang , Lars Kotthoff , Patrick Schratz , Julia Schiffner , Jakob Richter , Zachary Jones , Giuseppe Casalicchio , Mason Gallo , Jakob Bossek , Erich Studerus , Leonard Judt , Tobias Kuehn , Pascal Kerschke , Florian Fendt , Philipp Probst , Xudong Sun , Janek Thomas , Bruno Vieira , Laura Beggel , Quay Au , Martin Binder , Florian Pfisterer , Stefan Coors , Steve Bronder , Alexander Engelhardt , Christoph Molnar , Annette Spooner |
| mlr3 | Machine Learning in R - Next Generation Michel Lang , Bernd Bischl , Jakob Richter , Patrick Schratz , Giuseppe Casalicchio , Stefan Coors , Quay Au , Martin Binder , Florian Pfisterer , Raphael Sonabend , Lennart Schneider , Marc Becker , Sebastian Fischer |
| mlr3batchmark | Batch Experiments for 'mlr3' Marc Becker , Michel Lang |
| mlr3benchmark | Analysis and Visualisation of Benchmark Experiments Sonabend Raphael , Florian Pfisterer , Michel Lang , Bernd Bischl , Sebastian Fischer |
| mlr3cluster | Cluster Extension for 'mlr3' Damir Pulatov , Michel Lang |
| mlr3data | Collection of Machine Learning Data Sets for 'mlr3' Michel Lang , Marc Becker |
| mlr3db | Data Base Backend for 'mlr3' Michel Lang |
| mlr3fairness | Fairness Auditing and Debiasing for 'mlr3' Florian Pfisterer , Wei Siyi , Michel Lang |
| mlr3filters | Filter Based Feature Selection for 'mlr3' Patrick Schratz , Michel Lang , Bernd Bischl , Martin Binder , John Zobolas |
| mlr3fselect | Feature Selection for 'mlr3' Marc Becker , Patrick Schratz , Michel Lang , Bernd Bischl |
| mlr3learners | Recommended Learners for 'mlr3' Michel Lang , Quay Au , Stefan Coors , Patrick Schratz |
| mlr3mbo | Flexible Bayesian Optimization Lennart Schneider , Jakob Richter , Marc Becker , Michel Lang , Bernd Bischl , Florian Pfisterer , Martin Binder , Sebastian Fischer , Michael H. Buselli , Wessel Dankers , Carlos Fonseca , Manuel Lopez-Ibanez , Luis Paquete |
| mlr3measures | Performance Measures for 'mlr3' Michel Lang , Martin Binder |
| mlr3misc | Helper Functions for 'mlr3' Michel Lang , Patrick Schratz |
| mlr3oml | Connector Between 'mlr3' and 'OpenML' Michel Lang , Sebastian Fischer |
| mlr3pipelines | Preprocessing Operators and Pipelines for 'mlr3' Martin Binder , Florian Pfisterer , Lennart Schneider , Bernd Bischl , Michel Lang , Sebastian Fischer , Susanne Dandl |
| mlr3resampling | Resampling Algorithms for 'mlr3' Framework Toby Hocking , Michel Lang , Bernd Bischl , Jakob Richter , Patrick Schratz , Giuseppe Casalicchio , Stefan Coors , Quay Au , Martin Binder , Florian Pfisterer , Raphael Sonabend , Lennart Schneider , Marc Becker , Sebastian Fischer |
| mlr3spatiotempcv | Spatiotemporal Resampling Methods for 'mlr3' Patrick Schratz , Marc Becker , Jannes Muenchow , Michel Lang |
| mlr3tuning | Hyperparameter Optimization for 'mlr3' Marc Becker , Michel Lang , Jakob Richter , Bernd Bischl , Daniel Schalk |
| mlr3tuningspaces | Search Spaces for 'mlr3' Marc Becker , Michel Lang |
| mlr3verse | Easily Install and Load the 'mlr3' Package Family Michel Lang , Patrick Schratz |
| mlr3viz | Visualizations for 'mlr3' Michel Lang , Patrick Schratz , Raphael Sonabend , Marc Becker , Jakob Richter , Damir Pulatov |
| mlrCPO | Composable Preprocessing Operators and Pipelines for Machine Learning Martin Binder , Bernd Bischl , Michel Lang , Lars Kotthoff |
| mlrMBO | Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions Bernd Bischl , Jakob Richter , Jakob Bossek , Daniel Horn , Michel Lang , Janek Thomas |
| paradox | Define and Work with Parameter Spaces for Complex Algorithms Michel Lang , Bernd Bischl , Jakob Richter , Xudong Sun , Martin Binder , Marc Becker |
| parallelMap | Unified Interface to Parallelization Back-Ends Bernd Bischl , Michel Lang , Patrick Schratz |
| slurmR | A Lightweight Wrapper for 'Slurm' George Vega Yon , Paul Marjoram , National Cancer Institute , Michael Schubert , Michel Lang |
| stabm | Stability Measures for Feature Selection Andrea Bommert , Michel Lang |