easyupMVPA v 1.1 This toolbox is created to ease the multivariate analysis of (neuro) scientific data. It is supporting Support Vector Machine (SVM) and Relevance Vector Machine (RVM) classification and regression. License: GNU public license (see LICENSE) Copyright (c) 2012, M.Hollmann, MPI Cognitive and Human Brain Sciences, Leipzig. All rights reserved. Important: This software is using the following implementations: libSVM v3.12 - Copyright (c) 2000-2012 Chih-Chung Chang and Chih-Jen Lin SparseBayes 2.0 - GNU General Public License, Copyright (c) 2009, M.Tipping niftiTools - Copyright (c) 2009, Jimmy Shen
mhollmann/easyupMVPA
A matlab toolbox for easily accessible multivariate analysis of (neuro-) scientific data.
MATLABGPL-3.0