This will result in a BEAST run that estimates the marginal
likelihood until convergence is achieved.
In this context,
chain_length is only an upper bound
to the length of that run.
upper bound to the length of the MCMC chain
number of states the MCMC will process
before the posterior's state will be saved to file.
Use -1 or
NA to use the default frequency.
number of burn in samples taken before entering the main loop
number of initialization attempts before failing
number of particles
as created by create_tracelog
as created by create_screenlog
as created by create_treelog
an MCMC object
*  Patricio Maturana Russel, Brendon J Brewer, Steffen Klaere, Remco R Bouckaert; Model Selection and Parameter Inference in Phylogenetics Using Nested Sampling, Systematic Biology, 2018, syy050, https://doi.org/10.1093/sysbio/syy050