/*
* LogLinearModel.java
*
* Copyright (c) 2002-2016 Alexei Drummond, Andrew Rambaut and Marc Suchard
*
* This file is part of BEAST.
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* BEAST is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* BEAST 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with BEAST; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package dr.inference.distribution;
import dr.inference.model.Parameter;
/**
* @author Marc A. Suchard
*/
@Deprecated // GLM stuff is now in inference.glm - this is here for backwards compatibility temporarily
public class LogLinearModel extends GeneralizedLinearModel {
public LogLinearModel(Parameter dependentParam) {
super(dependentParam);
}
@Override
public double[] getXBeta() {
double[] xBeta = super.getXBeta();
for(int i=0; i<xBeta.length; i++)
xBeta[i] = Math.exp(xBeta[i]);
return xBeta;
}
protected double calculateLogLikelihood(double[] beta) {
throw new RuntimeException("Not yet implemented.");
}
protected double calculateLogLikelihood() {
throw new RuntimeException("Not yet implemented.");
}
protected boolean confirmIndependentParameters() {
return false;
}
public boolean requiresScale() {
return false;
}
}