Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individ - Bayesian classifier - Document - PDFSEARCH.IO

First Page	Meta Content
	Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individ Add to Reading List Document Date: 2015-01-04 06:15:15 Open Document File Size: 268,63 KB Share Result on Facebook / IndustryTerm free energy / model comparison free energy / free software / classification algorithm / / OperatingSystem GNU / / Organization Free Software Foundation / / Person Kay H. Brodersen / / Position GNU General Public License / / ProgrammingLanguage R / / PublishedMedium Journal of Machine Learning Research / / Technology 2013 Introduction Classification algorithms / Machine Learning / classification algorithm / / URL http / SocialTag Statistical theory Bayesian statistics Abduction Deduction Psychometrics Statistical inference Bayesian inference Bayes factor Inference Statistics

Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individAdd to Reading List