gemmR-package: General Monotone Model in R (gemmR)
In jchrszcz/gemmR: General Monotone Model

Description Details license Author(s) References

The gemmR package provides functions for fitting and analyzing General Monotone Models (GeMM). The GeMM is a statistical algorithm for predicting rank orders from a set of k predictors. As shown in Dougherty and Thomas (2012, Psychological Review), GeMM is unaffected by any monotonic transformation of the criterion variable, unaffected by non-linear monotone relationships, and shows better power and predictive accuracy than Least-Squares regression procedures in a variety of contexts. The primary gemmR function is gemm.

Package:	gemmR
Type:	Package
Version:	1.3.04
Date:	2018-01-07
License:	GPL-3

This file is part of gemmR. gemmR is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

gemmR is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with gemmR. If not, see http://www.gnu.org/licenses/.

Jeffrey S. Chrabaszcz
Joe Tidwell
Michael R. Dougherty

Dougherty, M. R., & Thomas, R. P. (2012). Robust decision making in a nonlinear world. Psychological Review, 119(2), 321.

jchrszcz/gemmR documentation built on May 18, 2019, 10:24 p.m.