run_mcmc: Run main MCMC
In bobverity/RMavericK: Analysis of population structure

Run the main rmaverick MCMC. Model parameters are taken from the current active parameter set, and MCMC parameters are passed in as arguments. All output is stored within the project.

run_mcmc(
  project,
  K = 3,
  burnin = 100,
  samples = 1000,
  rungs = 10,
  GTI_pow = 2,
  auto_converge = TRUE,
  converge_test = ceiling(burnin/10),
  solve_label_switching_on = TRUE,
  coupling_on = TRUE,
  cluster = NULL,
  pb_markdown = FALSE,
  silent = FALSE
)

`project`	an rmaverick project, as produced by the function `mavproject()`
`K`	the values of K that the MCMC will explore
`burnin`	the number of burn-in iterations
`samples`	the number of sampling iterations
`rungs`	the number of temperature rungs
`GTI_pow`	the power used in the generalised thermodynamic integration method. Must be greater than 1.1
`auto_converge`	whether convergence should be assessed automatically every `converge_test` iterations, leading to termination of the burn-in phase. If `FALSE` then the full `burnin` iterations are used
`converge_test`	test for convergence every `convergence_test` iterations if `auto_converge` is being used
`solve_label_switching_on`	whether to implement the Stevens' solution to the label-switching problem. If turned off then Q-matrix output will no longer be correct, although evidence estimates will be unaffected.
`coupling_on`	whether to implement Metropolis-coupling over temperature rungs
`cluster`	option to pass in a cluster environment (see package "parallel")
`pb_markdown`	whether to run progress bars in markdown mode, in which case they are updated once at the end to avoid large amounts of output.
`silent`	whether to suppress all console output