How to use the mc3.stats function in mc3

if ncpu > 1:
      dyn_args = {'pool':mp.Pool(ncpu), 'queue_size':ncpu}
  else:
      dyn_args = {}

  # Intercept kwargs that go into DynamicNestedSampler():
  if 'loglikelihood' in kwargs:
      loglike = kwargs.pop('loglikelihood')
  else:
      loglike = ms.Loglike(data, uncert, func, params, indparams, pstep)

  if 'prior_transform' in kwargs:
      prior_transform = kwargs.pop('prior_transform')
      skip_logp = True
  else:
      prior_transform = ms.Prior_transform(prior, priorlow, priorup,
          pmin, pmax, pstep)
      skip_logp = False

  if 'ndim' in kwargs:
      nfree = kwargs.pop('ndim')

  # Pop other DynamicNestedSampler() arguments from kwargs:
  if sys.version_info.major == 3:
      signature = inspect.signature(dynesty.DynamicNestedSampler).parameters
  else:
      signature = inspect.getcallargs(dynesty.DynamicNestedSampler,
          None,None,None)

  dyn_args_list = np.intersect1d(
      list(signature.keys()),
      list(kwargs.keys()))