| implemented by the following |
| beastlabs.core.Likelihood |
BEASTObject that performs calculations based on the State.
Probabilistic representation that can produce a log probability for instance for running an MCMC chain.
Takes a collection of distributions, typically a number of likelihoods and priors and combines them into the compound of these distributions typically interpreted as the posterior.
Logable: yes, this can be used in a log.
distribution, useThreads, threads, ignore
| type: beast.base.inference.Distribution*** |
| individual probability distributions, e.g. the likelihood and prior making up a posterior |
| Optional input |
| type: java.lang.Boolean |
| calculated the distributions in parallel using threads (default false) |
| Optional input. Default: false |
| type: java.lang.Integer |
| maximum number of threads to use, if less than 1 the number of threads in BeastMCMC is used (default -1) |
| Optional input. Default: -1 |
| type: java.lang.Boolean |
| ignore all distributions and return 1 as distribution (default false) |
| Optional input. Default: false |