def test_power_binom_tost():
# comparison numbers from PASS manual
p_alt = 0.6 + np.linspace(0, 0.09, 10)
power = smprop.power_binom_tost(0.5, 0.7, 500, p_alt=p_alt, alpha=0.05)
res_power = np.array([0.9965, 0.9940, 0.9815, 0.9482, 0.8783, 0.7583,
0.5914, 0.4041, 0.2352, 0.1139])
assert_almost_equal(power, res_power, decimal=4)
rej_int = smprop.binom_tost_reject_interval(0.5, 0.7, 500)
res_rej_int = (269, 332)
assert_equal(rej_int, res_rej_int)
# TODO: actual alpha=0.0489 for all p_alt above
# another case
nobs = np.arange(20, 210, 20)
power = smprop.power_binom_tost(0.4, 0.6, nobs, p_alt=0.5, alpha=0.05)
res_power = np.array([ 0., 0., 0., 0.0889, 0.2356, 0.3517, 0.4457,
0.6154, 0.6674, 0.7708])
# TODO: I currently don't impose power>=0, i.e np.maximum(power, 0)
assert_almost_equal(np.maximum(power, 0), res_power, decimal=4)
def test_power_binom_tost():
# comparison numbers from PASS manual
p_alt = 0.6 + np.linspace(0, 0.09, 10)
power = smprop.power_binom_tost(0.5, 0.7, 500, p_alt=p_alt, alpha=0.05)
res_power = np.array([0.9965, 0.9940, 0.9815, 0.9482, 0.8783, 0.7583,
0.5914, 0.4041, 0.2352, 0.1139])
assert_almost_equal(power, res_power, decimal=4)
rej_int = smprop.binom_tost_reject_interval(0.5, 0.7, 500)
res_rej_int = (269, 332)
assert_equal(rej_int, res_rej_int)
# TODO: actual alpha=0.0489 for all p_alt above
# another case
nobs = np.arange(20, 210, 20)
power = smprop.power_binom_tost(0.4, 0.6, nobs, p_alt=0.5, alpha=0.05)
res_power = np.array([ 0., 0., 0., 0.0889, 0.2356, 0.3517, 0.4457,
0.6154, 0.6674, 0.7708])
# TODO: I currently don't impose power>=0, i.e np.maximum(power, 0)
assert_almost_equal(np.maximum(power, 0), res_power, decimal=4)
