Comments (1)
Resolved. issue was using np.argmax(p_history <= alpha) when the risk limit was not attained, which erroneously produced a sample size of 1 instead of N. Now test whether risk limit is attained.
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Related Issues (9)
- kaplan_markov function is broken HOT 1
- Impact of RuntimeWarning: overflow encountered in Notebook and tests? HOT 4
- Where is ballot_comparison module? HOT 1
- Break loop in new_sample_size
- kaplan_martingale returns nan
- incremental sample size: condition on the observed sample
- Bug in find_p_values()? HOT 1
- supermajority assorters: need to implement "no winner"
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