tidymodelsecosystem of modeling packages, lessons learned from continued development of the
caretpackage, and candida advice for how the life sciences industry can utilize R effectively in new workflows. Plus I share some of my favorite gems from the excellent array of conference talks and posters. Thank you so much for listening and hope you enjoy this episode!
parsnip- A tidy interface to models: tidymodels.github.io/parsnip/
pak: A fresh approach to package installation: pak.r-lib.org/
Max was a nonclinical statistician for 12 years in the pharmaceutical industry and for 6 years in the medical diagnostic industry. His degrees are in Biostatistics (Ph.D.) and Mathematics (B.S.). He has released several R packages for predictive modeling and machine learning, including
Cubist. He is the author of the Springer book Applied Predictive Modeling (with Kjell Johnson), which won the American Statistical Association’s Ziegel Award for best book in 2014.
Eric Nantz is a principal research scientist at a large life sciences company, creating innovative analytical pipelines and capabilities supporting study designs and analyses. Outside of his day job, Eric is passionate about connecting with the R community as the creator/host of the R-Podcast, Shiny Developer Series, and a curator / podcast host for the R Weekly project. Plus, he likes to share his adventures with R and general computing on Twitch livestreams at twitch.tv/rpodcast.