Quick info
David Shaub has worked on 4 packages so far. In total, David Shaub has worked with 20 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| DidacticBoost | A Simple Implementation and Demonstration of Gradient Boosting |
| forecast | Forecasting Functions for Time Series and Linear Models Rob Hyndman , George Athanasopoulos , Christoph Bergmeir , Gabriel Caceres , Leanne Chhay , Kirill Kuroptev , Mitchell O'Hara-Wild , Fotios Petropoulos , Slava Razbash , Earo Wang , Farah Yasmeen , Federico Garza , Daniele Girolimetto , Ross Ihaka , R Core Team , Daniel Reid , David Shaub , Yuan Tang , Xiaoqian Wang , Zhenyu Zhou |
| forecastHybrid | Convenient Functions for Ensemble Time Series Forecasts |
| supervisedPRIM | Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM) |