The caret package is a unified interface to a large number of predictive model functions in R.
First created in 2005, the home for the source code and documentation has changed several times.
In this talk, we will outline the somewhat unique aspects of the package and how it impacts the development environment (including documentation and testing). Friction points with CRAN and their resolution will also be discussed.
Max Kuhn – Director of Statistics at Pfizer R&D
Max Kuhn is a Director of Nonclinical Statistics in Pfizer R&D. He has worked in pharmaceutical and molecular diagnostic research for more than 15 years. Max’s interests are in predictive modeling and machine learning and is the author of six R packages, including the [caret package](http://topepo.github.io/caret/). He and Kjell Johnson published the bestselling book [Applied Predictive Modeling](http://appliedpredictivemodeling.com) in 2013. Max holds a B.S. in Mathematics and a Ph.D. in Biostatistics.
Zach Deane-Mayer – Lead Data Scientist at Cognius
Zach Deane-Mayer is the Lead Data Scientist at Cognius. He is a highly successfully Kaggler who has been working at data science startups and consulting firms for 7 years. Zach is a co-author of the [caret package](http://topepo.github.io/caret/) for machine learning and the author of the [caretEnsemble package](https://github.com/zachmayer/caretEnsemble/) for ensemble learning. Zach holds a B.S. in Ecology from Dartmouth College and lives in Boston with his wife, Lindsay, and dog, Moose.