Methods in pal.treesearch with parameters of type StoppingCriteria |
double |
GeneralLikelihoodSearcher.optimiseAllFullHeirarchy(StoppingCriteria mainStopper,
StoppingCriteria subStopper,
MultivariateMinimum rateMinimiser,
int fxFracDigits,
int xFracDigits,
AlgorithmCallback callback,
SearchMonitor monitor,
MinimiserMonitor rateMonitor)
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double |
GeneralLikelihoodSearcher.optimiseAllPlusSubstitutionModel(StoppingCriteria stopper,
MultivariateMinimum rateMinimiser,
MultivariateMinimum substitutionModelMinimiser,
int fxFracDigits,
int xFracDigits,
AlgorithmCallback callback,
SearchMonitor monitor,
int substitutionModelOptimiseFrequency,
MinimiserMonitor substitutionModelMonitor,
MinimiserMonitor rateMonitor)
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double |
GeneralLikelihoodSearcher.optimiseAllSimple(StoppingCriteria stopper,
MultivariateMinimum rateMinimiser,
int fxFracDigits,
int xFracDigits,
AlgorithmCallback callback)
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double |
GeneralLikelihoodSearcher.optimiseAllSimple(StoppingCriteria stopper,
MultivariateMinimum rateMinimiser,
int fxFracDigits,
int xFracDigits,
AlgorithmCallback callback,
SearchMonitor monitor,
MinimiserMonitor rateMonitor)
|
double |
GeneralLikelihoodSearcher.optimiseAllSimple(StoppingCriteria stopper,
MultivariateMinimum rateMinimiser,
int fxFracDigits,
int xFracDigits,
AlgorithmCallback callback,
SearchMonitor monitor,
MinimiserMonitor rateMonitor,
int groupOptimistionType)
|
double |
GeneralLikelihoodSearcher.optimiseAllSimpleHeirarchy(StoppingCriteria stopper,
MultivariateMinimum rateMinimiser,
int fxFracDigits,
int xFracDigits,
AlgorithmCallback callback,
SearchMonitor monitor,
MinimiserMonitor rateMonitor)
|
double |
GeneralLikelihoodSearcher.optimiseGeneral(StoppingCriteria stopper,
int fracDigits,
AlgorithmCallback callback)
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double |
GeneralLikelihoodSearcher.optimiseGeneral(StoppingCriteria stopper,
int fracDigits,
AlgorithmCallback callback,
SearchMonitor monitor)
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double |
UnrootedMLSearcher.simpleOptimiseLikelihood(StoppingCriteria stopper,
AlgorithmCallback callback)
Optimise the branch lengths of the tree to obtain the maximum likelihood. |