/*
Copyright (C) 2009 David Posada
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 2 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, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
package es.uvigo.darwin.prottest.selection;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import es.uvigo.darwin.prottest.model.Model;
import es.uvigo.darwin.prottest.selection.model.BICSelectionModel;
import es.uvigo.darwin.prottest.selection.model.SelectionModel;
import es.uvigo.darwin.prottest.util.collection.ModelCollection;
/**
* The Bayesian Information Criterion.
* @author David Posada, University of Vigo, Spain
* dposada@uvigo.es | darwin.uvigo.es
*/
public class BIC extends InformationCriterion
{
// /**
// * Instantiates a new Bayesian Information Criterion.
// *
// * @param models the models
// * @param confidenceInterval the confidence interval
// */
// public BIC (ModelCollection models, double confidenceInterval)
// {
// super(models, confidenceInterval);
//
// Collections.sort(selectionModels);
// }
/**
* Instantiates a new Bayesian Information Criterion.
*
* @param models the models
* @param confidenceInterval the confidence interval
* @param sampleSize the sample size if different of the default
*/
public BIC (ModelCollection models, double confidenceInterval, double sampleSize)
{
super(models, confidenceInterval, sampleSize);
Collections.sort(selectionModels);
}
/* (non-Javadoc)
* @see es.uvigo.darwin.prottest.selection.InformationCriterion#getSelectionModels(es.uvigo.darwin.prottest.util.collection.ModelIterator)
*/
protected List<SelectionModel> getSelectionModels(List<Model> models) {
List<SelectionModel> list = new ArrayList<SelectionModel>();
for (Model model : models) {
SelectionModel toAdd = new BICSelectionModel(
model,
sampleSize);
list.add( toAdd );
hashModels.put(model, toAdd);
}
return list;
}
/* (non-Javadoc)
* @see es.uvigo.darwin.prottest.selection.InformationCriterion#getCriterionName()
*/
public String getCriterionName() {
return "BIC";
}
}