Quick info
Philipp Probst has worked on 8 packages so far. In total, Philipp Probst has worked with 36 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| OOBCurve | Out of Bag Learning Curve |
| measures | Performance Measures for Statistical Learning |
| 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 |
| quantregRanger | Quantile Regression Forests for 'ranger' |
| ranger | A Fast Implementation of Random Forests Marvin N. Wright , Stefan Wager , Philipp Probst |
| tscount | Analysis of Count Time Series Tobias Liboschik , Rol , Fried , Konstantinos Fokianos , Philipp Probst , Jonathan Rathjens |
| tuneRanger | Tune Random Forest of the 'ranger' Package |
| varImp | RF Variable Importance for Arbitrary Measures Philipp Probst , Silke Janitza |