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[DRAFT] Calib uplift #772
[DRAFT] Calib uplift #772
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…prevalent" or "incident" as part of evaluating fit. Also need to perform an integration for incident parameters, in case times and observed times don't align.
logL += gln(real_data['x'] + sim_data['x'] + 1) + gln(real_data['n'] - real_data['x'] + sim_data['n'] - sim_data['x'] + 1) - gln(real_data['n'] + sim_data['n'] + 2) | ||
logL += gln(sim_data['n'] + 2) - gln(sim_data['x'] + 1) - gln(sim_data['n'] - sim_data['x'] + 1) | ||
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def nll_beta(expected, actual): |
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should be beta binomial instead of just beta to avoid possible confusion, even if the name it longer
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Or maybe just binomial
? Have added to #776
Nice improvements @cliffckerr |
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