code: def test_GGGM2(verbose=0):
      G = GGGM()
      sx = 10000
      x = nr.randn(sx)
      G.init_fdr(x)
      G.estimate(x)
      assert G.mixt[1] > 0.9
  
file_path: nipy/nipy/algorithms/clustering/tests/test_ggm.py
imports: import numpy
  import numpy.random
  import scipy.stats
  from ..ggmixture import GGGM, GGM, Gamma
label_desc: Use image node_id 5 for calling a global function with example usage: test_GGGM2(verbose) without return types