README.md

In joetidwell/OCLO: Order Constrained Linear Optimization

oclo

The General Monotone Model (GeMM) in R with Order Constrained Linear Optimization (OCLO). This is an R version of the non-parametric regression algorithm proposed by Dougherty & Thomas (2012). The base OCLO algorithm works as follows:

1. Via genetic search, find the regression weights that optimize ordinal fit.
2. Within the set of best fitting ordinal predictors, scale the weights to obtain the best fitting linear predictors.

The resulting ocloFit object is an S3 class object. We're working on increasing usability and writing a proper vignette. Information on the basis for GeMM can be found in the original paper.

Installation

You can install oclo via GitHub:

library(devtools)
install_github("joetidwell/oclo")

Licensing

This program 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.

This program 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 this program. If not, see http://www.gnu.org/licenses/.

joetidwell/OCLO documentation built on May 19, 2019, 3:01 p.m.