My projects

What I have been working on lately.

Written by Byron C Jaeger


Optimized to fit, interpret, and make predictions with oblique random survival forests (ORSFs), this R package is written with an intuitive, formula based API. In addition to fitting ORSFs, several methods to estimate the importance of individual variables using an ORSF are available.

Benchmarking aorsf

A general benchmark of the aorsf package, comparing its computational efficiency, prediction accuracy, and interpretability to leading software packages such as ranger, randomForestSRC, and party. We also show that aorsf can run over 500 times faster than its predecessor, obliqueRSF.


This shiny application is also an R package. It comes with meticulously cleaned data from the National Health and Nutrition Examination Survey (NHANES) and a function to run the nhanesTrends app locally.