README.md

In npetraco/fdrID: Computes local false discovery rate probabilities using JAGS, Stan and code from Efron, Turnbull and Narasimhan locfdr

fdrID

R package to compute local false discovery rates (posterior error probabilities)for machine learning classification/discrimination tasks. Still under development but this public version is functional. We will add connection to Stan and spline fit smoothing next.

Breifly, to install: devtools()::install_github("fdrID", username="npetraco"). More extensive install instructions comming soon. If you need help, email me.

For technical details email for a copy of: *Nicholas D. K. Petraco, Jacqueline Speir, Carol Gambino, Brooke Kammrath, Antonio Del Valle and Peter Shenkin, “Posterior Probability Estimates For Source Identification Via Computer Matching Systems,” (To be submitted)

npetraco/fdrID documentation built on May 23, 2019, 9:33 p.m.