Created
September 19, 2013 17:58
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Compute two-sided binomial confidence interval in Python. Based on R's binom.test.
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| from scipy.stats import beta | |
| def binom_interval(success, total, confint=0.95): | |
| quantile = (1 - confint) / 2. | |
| lower = beta.ppf(quantile, success, total - success + 1) | |
| upper = beta.ppf(1 - quantile, success + 1, total - success) | |
| return (lower, upper) |
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I don't think this works if success equals zero or total. You need to calculate a one-sided interval in those cases.