code: def mc2mvsk(args):
      """convert central moments to mean, variance, skew, kurtosis"""
      X = _convert_to_multidim(args)
  
      def _local_counts(args):
          mc, mc2, mc3, mc4 = args
          skew = np.divide(mc3, mc2**1.5)
          kurt = np.divide(mc4, mc2**2.0) - 3.0
          return (mc, mc2, skew, kurt)
  
      res = np.apply_along_axis(_local_counts, 0, X)
      # for backward compatibility convert 1-dim output to list/tuple
      return _convert_from_multidim(res, tuple)
  
file_path: statsmodels/statsmodels/stats/moment_helpers.py
imports: import numpy
  from scipy.special import comb
label_desc: Use image node_id 10 for calling a global function with example usage: mc2mvsk(args) and returns: _convert_from_multidim, mc,  mc2,  skew,  kurt