code: def posterior_to_xarray(self):
          
          data = {}
          for idx, var_name in enumerate(self.var_names):
              # Use emcee3 syntax, else use emcee2
              data[var_name] = (
                  self.sampler.get_chain()[(..., idx)].T
                  if hasattr(self.sampler, "get_chain")
                  else self.sampler.chain[(..., idx)]
              )
          return dict_to_dataset(data, library=self.emcee, coords=self.coords, dims=self.dims)
docs: Convert the posterior to an xarray dataset.