code: def mfx_ttest(x, vx):
      """Idem fttest, but returns a mixed-effects statistic
  
      Parameters
      ----------
      x: array of shape(nrows, ncols): effect matrix
      vx: array of shape(nrows, ncols): variance matrix
  
      Returns
      -------
      t array of shape(nrows): mixed effect statistics array
      """
      from ..group.onesample import stat_mfx
  
      t = stat_mfx(x.T, vx.T, id="student_mfx", axis=0)
      return np.squeeze(t)
  
imports: import numpy
  from nipy.io.nibcompat import get_affine
  from nipy.labs.spatial_models.discrete_domain import grid_domain_from_binary_array
label_desc: Use image node_id 10 for calling a global function with example usage: mfx_ttest(x, vx) and returns: np