code: def _ma_invtransparams(macoefs):
      """
      Inverse of the Jones reparameterization
  
      Parameters
      ----------
      params : ndarray
          The transformed MA coefficients
      """
      tmp = macoefs.copy()
      for j in range(len(macoefs) - 1, 0, -1):
          b = macoefs[j]
          for kiter in range(j):
              tmp[kiter] = (
                  macoefs[kiter] - b * macoefs[j - kiter - 1]
              ) / (1 - b**2)
          macoefs[:j] = tmp[:j]
      invmacoefs = -np.log((1 - macoefs) / (1 + macoefs))
      return invmacoefs
  
imports: from __future__ import annotations
  from statsmodels.compat.python import Literal, lrange
  import warnings
  import numpy
  import pandas
  from pandas import DataFrame
  from pandas.tseries import offsets
  from pandas.tseries.frequencies import to_offset
  from statsmodels.tools.data import _is_recarray, _is_using_pandas
  from statsmodels.tools.sm_exceptions import ValueWarning
  from statsmodels.tools.typing import NDArray
  from statsmodels.tools.validation import array_like, bool_like, int_like, string_like
label_desc: Use image node_id 19 for calling a global function with example usage: _ma_invtransparams(macoefs) and returns: invmacoefs