code: def _ptransform(p):
      """function for p-value abcissa transformation"""
      return -1.0 / (1.0 + 1.5 * _phi((1.0 + p) / 2.0))
  
file_path: statsmodels/statsmodels/stats/libqsturng/qsturng_.py
imports: from statsmodels.compat.python import lrange
  import math
  import scipy.stats
  import numpy
  from scipy.optimize import fminbound
label_desc: Use image node_id 3 for calling a global function with example usage: _ptransform(p) and returns: unknown