Uses of Interface
pal.eval.LHCalculator.Generator
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Packages that use LHCalculator.Generator Package Description pal.eval Classes for evaluating evolutionary hypothesis (chi-square and likelihood criteria) and estimating model parameters. -
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Uses of LHCalculator.Generator in pal.eval
Methods in pal.eval that return LHCalculator.Generator Modifier and Type Method Description LHCalculator.Generator
LHCalculator.Factory. createSeries(int numberOfCategories, DataType dt)
Methods in pal.eval with parameters of type LHCalculator.Generator Modifier and Type Method Description static UnconstrainedLikelihoodModel.Instance
SimpleUnconstrainedLikelihoodModel. createInstance(LHCalculator.Generator base, SubstitutionModel model)
Create a SimpleUnconstrainedLikelihoodModel instanceLHCalculator.External
LHCalculator.Generator. createNewExternal(LHCalculator.Generator parentGenerator)
An obscure method, primarily used by the High Accuracy calculatorLHCalculator.Internal
LHCalculator.Generator. createNewInternal(LHCalculator.Generator patentGenerator)
An obscure method, primarily used by the High Accuracy calculatorLHCalculator.Leaf
LHCalculator.Generator. createNewLeaf(int[] patternStateMatchup, int numberOfPatterns, LHCalculator.Generator parentGenerator)
Constructors in pal.eval with parameters of type LHCalculator.Generator Constructor Description SimpleLeafCalculator(int[] patternStateMatchup, int numberOfPatterns, int numberOfStates, int numberOfCategories, LHCalculator.Generator parent)
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