def test_cdf_coal_cond_counts(self): # test coalescent pdf when conditioned on future lineage counts outdir = 'test/tmp/test_coal/Coal_test_cdf_coal_cond_counts/' make_clean_dir(outdir) a = 5 for b in xrange(2, a): t = 500 n = 1000 p = Gnuplot() p.enableOutput(False) p.plotfunc(lambda x: coal.cdf_coal_cond_counts( x, a, b, t, n), 0, t, 10) # draw single coal samples using rejection sampling s = [] for i in xrange(1000): while True: times = coal.sample_coal_times(a, n) if times[a-b-1] < t and (b == 1 or times[a-b] > t): break s.append(times[0]) x2, y2 = stats.cdf(s) p.plot(x2, y2, style='lines') p.enableOutput(True) p.save(outdir + 'plot-%d.png' % b) eq_sample_pdf( x2, lambda x: coal.prob_coal_cond_counts(x, a, b, t, n), 40)
def test_prob_coal_cond_counts2(self): # test coalescent pdf when conditioned on future lineage counts a = 5 for b in xrange(2, a): t = 500 n = 1000 # draw single coal samples using rejection sampling x2 = [] for i in xrange(1000): while True: times = coal.sample_coal_times(a, n) if times[a-b-1] < t and (b == 1 or times[a-b]) > t: break x2.append(times[0]) eq_sample_pdf(x2, lambda x: coal.prob_coal_cond_counts( x, a, b, t, n), 40)
def test_prob_mrca(self): n = 1000 k = 50 x = [coal.sample_coal_times(k, n)[-1] for i in xrange(10000)] eq_sample_pdf(x, lambda t: coal.prob_mrca(t, k, n), 40)