== Quote from Bill Baxter ([EMAIL PROTECTED])'s article > On Fri, Oct 24, 2008 at 7:43 AM, dsimcha <[EMAIL PROTECTED]> 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: > > > > 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 > > > > Binomial, hypergeometric, normal, Poisson, Kolmogorov CDFs, hypergeometric, > > Poisson, binomial PDFs. > > > > Inverse normal distribution, and normally distributed random number > > generation. > > > > A struct to generate all possible permutations of a sequence. > I don't know what a lot of those things are, but statistics to me > means you will probably have (or eventually want) things like > covariance which are best represented as matrices. Does your package > also have a matrix library? > --bb
No, it doesn't have a matrix library right now. I make no claim that it is in any way complete right now, but I do think it has some pretty useful stuff that's not likely to be anywhere else for D.
