package dr.evomodel.operators; import dr.evolution.util.Taxon; import dr.evomodel.tree.HiddenLinkageModel; import dr.evomodelxml.operators.MoveLinkageGroupParser; import dr.inference.operators.OperatorFailedException; import dr.inference.operators.SimpleMCMCOperator; import dr.math.MathUtils; /** * @author Aaron Darling */ public class MoveLinkageGroup extends SimpleMCMCOperator { HiddenLinkageModel hlm; int readCount; int groupCount; public MoveLinkageGroup(HiddenLinkageModel hlm, double weight){ this.hlm = hlm; readCount = hlm.getData().getReadsTaxa().getTaxonCount(); groupCount = hlm.getLinkageGroupCount(); setWeight(weight); } public double doOperation() throws OperatorFailedException { // pick a read uniformly at random, add it to a linkage group uniformly at random int r = MathUtils.nextInt(readCount); Taxon read = hlm.getData().getReadsTaxa().getTaxon(r); int g=hlm.getLinkageGroupId(read); int newGroup = MathUtils.nextInt(groupCount); hlm.moveReadGroup(read, g, newGroup); // moves are symmetric -- same forward and backward proposal probabilities double logHastings = 0.0; return logHastings; } public String getOperatorName() { return MoveLinkageGroupParser.MOVE_LINKAGE_GROUP + "(" + hlm.getId() + ")"; } public String getPerformanceSuggestion() { return "Ask Aaron Darling to write a better operator"; } }