README.md

In profyliu/gepR: Composite linear-nonlinear regression using GEP

gepR

Composite linear-nonlinear regression tool using GEP, for data mining, feature engineering and knowledge discovery

Download the R package file at (right click link, then click "Save link as ...") http://yliu.eng.wayne.edu/research/gepR_0.1.0.tar.gz

To install the package from source, run

install.packages("gepR_0.1.0.tar.gz", repos=NULL, type="source")

Download the DLL file (for 64-bit Windows) needed for the package at http://yliu.eng.wayne.edu/research/gepR.dll

Download the dylib file (for MacOS, no openmp support) needed for the package at http://yliu.eng.wayne.edu/research/gepR.dylib

For a quick demo, check out this pape: http://yliu.eng.wayne.edu/research/gepR_demo_A.html

For a detailed account of the method, check out this (legacy) page: https://s3-us-west-2.amazonaws.com/geptestdata/GEP+for+regression.html

profyliu/gepR documentation built on Sept. 3, 2023, 8:52 p.m.