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Computations of small-number statistics using binomial and Poisson distributions
In the IDL part of the library (haven't checked the others):
Trying to get poisson confidence intervals for the case of 0 or 1 recorded events causes an error. In both cases, k=0 gets passed to pdtri.pro, which proceeds to use 1./k as part of the process of finding the x0 initial guess to bass to the bisection routine. This yields x0 = NaN which then gets passed to igamma(), causing the error.
My local solution is to simply add a conditional in pdtri.pro, such that if k=0, then x0 gets set to 0. But perhaps there is a better way?
Thanks,
Nathaniel
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