dsimcha wrote:
Since there's really no good comprehensive statistics library for D (Tango has
a little bit, the beginnings of a few are on dsource, but nothing much), Ive
been rolling my own statistics functions as necessary. Almost by accident, it
seems like I've built up the beginnings of a decent statistics library. I'm
debating whether it might be interesting enough to people to be worth
releasing, and whether enough community help would be available to really make
it production quality, or to merge it with other people's efforts in this
area. The following functionality is currently available:
Binomial, hypergeometric, normal, Poisson, Kolmogorov CDFs, hypergeometric,
Poisson, binomial PDFs. Inverse normal distribution,
Most of these are in Tango (not Kolmogorov). Are yours different in some
way?
A struct to generate all possible permutations of a sequence.
>
> Correlation (Pearson, Spearman rho, Kendall tau). Note that the
Kendall
> tau correlation is a very efficient O(N log N) version.
>
> Mean, standard deviation, variance, kurtosis, percent variance for
arrays of
> numeric values.
>
> Shannon entropy, mutual information.
>
> Kolmogorov-Smirnov tests
Sounds good.
On the other hand, I'm a scientist, not a full-time programmer,
Me too!
Is there any interest in this from others in the D community? Do other people
think that D would benefit from having a decent statistics library?
Yes. Which is why I put the existing stuff into Tango.
