Logic regression is a (generalized) regression methodology that is
primarily applied when most of the covariates in the data to be
analyzed are binary. The goal of logic regression is to find
predictors that are Boolean (logical) combinations of the original
predictors. For more information follow the link basic information about the
methodology
.

On this page you can information about downloading the software for logic regression and find the basic information you need to run the software. Logic regression is available as an R package. R is a freely available statistical software. The core of the logic regression code has been translated into Fortran, which is called from the R command line. Please click on the appropriate link to find out more.

**The R version of the software is now available from
CRAN [LogicReg],
For the S version of the software, follow the link below.
**

The current version of the code is 1.3.1 dated December 15, 2004 [S-Plus] and 1.4.12 date February 14, 2012 [R].

The Logic Regression methodology was developed by Ingo Ruczinski, Charles Kooperberg, and Michael LeBlanc at the Fred Hutchinson Cancer Research Center in Seattle. The software was implemented by Ingo Ruczinski and Charles Kooperberg. Logic Regression is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form.

For questions please contact Ingo
Ruczinski or Charles Kooperberg
.