playing with parsing fortran documentation in special cdflib https://gist.github.com/josef-pkt/6426618 some fortran files don't work example ################# cumpoi(s, xlam, cum, ccum) CUMulative POIsson distribution Returns the probability of S or fewer events in a Poisson distribution with mean XLAM. Parameters ---------- s : array_like Upper limit of cumulation of the Poisson. xlam : array_like Mean of the Poisson distribution. Returns ------- cum : array_like Cumulative poisson distribution. ccum : array_like Compliment of Cumulative poisson distribution. Notes ----- Uses formula 26.4.21 of Abramowitz and Stegun, Handbook of Mathematical Functions to reduce the cumulative Poisson to the cumulative chi-square distribution. ################# cumt(t, df, cum, ccum) CUMulative T-distribution Computes the integral from -infinity to T of the t-density. Parameters ---------- t : array_like Upper limit of integration of the t-density. df : array_like Degrees of freedom of the t-distribution. Returns ------- cum : array_like Cumulative t-distribution. ccum : array_like Compliment of Cumulative t-distribution. Notes ----- Formula 26.5.27 of Abramowitz and Stegun, Handbook of Mathematical Functions is used to reduce the t-distribution to an incomplete beta. ################# cumtnc(t, df, pnonc, cum, ccum) CUMulative Non-Central T-distribution Computes the integral from -infinity to T of the non-central t-density. Parameters ---------- t : array_like Upper limit of integration of the non-central t-density. df : array_like Degrees of freedom of the non-central t-distribution. pnonc : array_like Non-centrality parameter of the non-central t distibutio Returns ------- cum : array_like Cumulative t-distribution. ccum : array_like Compliment of Cumulative t-distribution. Notes ----- Upper tail of the cumulative noncentral t using formulae from page 532 of Johnson, Kotz, Balakrishnan, Coninuous Univariate Distributions, Vol 2, 2nd Edition. Wiley (1995) This implementation starts the calculation at i = lambda, which is near the largest Di. It then sums forward and backward.