Clusterwise Effect Regression: Project Home – R-Forge

Project description

This software implements an algorithm that proposes variable clustering within high dimensional linear and probit regression models. The estimation strategy is based on mixed Gibbs Sampling and Stochastic EM algorithm.

Project Info

Tags: C++, Clustering, biostatistics, high dimentional data, multivariate regression, regression

This project has not yet categorized itself in the Trove Software Map

Registered: 2013-08-20 09:47
Activity Ranking: 0
View project Statistics
View list of RSS feeds available for this project. 

Public Areas
 Mailing Lists (0 public mailing lists)
 SCM Repository (Subversion: 0 commits, 0 adds)
Project Members
Thanks to:
Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge