BEAST v2.7.8 Documentation: beastlabs.evolution.likelihood.MultiPartitionTreeLikelihood

BEASTObject that performs calculations based on the State.
Probabilistic representation that can produce a log probability for instance for running an MCMC chain.
A DataLikelihoodDelegate that uses BEAGLE 3 to allow for parallelization across multiple data partitions

Logable: yes, this can be used in a log.

Inputs:

distribution, delayScalingUntillUnderflow

 

distribution
type: beast.base.evolution.likelihood.GenericTreeLikelihood***
tree likelilhood for each of the partitions
Required input

 

delayScalingUntillUnderflow
type: java.lang.Boolean
delay first scaling till underflow is reached
Optional input. Default: true