Uses of Interface
pal.eval.LHCalculator.Generator

Packages that use LHCalculator.Generator
pal.eval Classes for evaluating evolutionary hypothesis (chi-square and likelihood criteria) and estimating model parameters. 
 

Uses of LHCalculator.Generator in pal.eval
 

Methods in pal.eval that return LHCalculator.Generator
 LHCalculator.Generator LHCalculator.Factory.createSeries(int numberOfCategories, DataType dt)
           
 

Methods in pal.eval with parameters of type LHCalculator.Generator
static UnconstrainedLikelihoodModel.Instance SimpleUnconstrainedLikelihoodModel.createInstance(LHCalculator.Generator base, SubstitutionModel model)
          Create a SimpleUnconstrainedLikelihoodModel instance
 LHCalculator.External LHCalculator.Generator.createNewExternal(LHCalculator.Generator parentGenerator)
          An obscure method, primarily used by the High Accuracy calculator
 LHCalculator.Internal LHCalculator.Generator.createNewInternal(LHCalculator.Generator patentGenerator)
          An obscure method, primarily used by the High Accuracy calculator
 LHCalculator.Leaf LHCalculator.Generator.createNewLeaf(int[] patternStateMatchup, int numberOfPatterns, LHCalculator.Generator parentGenerator)
           
 

Constructors in pal.eval with parameters of type LHCalculator.Generator
SimpleLeafCalculator(int[] patternStateMatchup, int numberOfPatterns, int numberOfStates, int numberOfCategories, LHCalculator.Generator parent)