The Java Distribution Functions library provides a set of Java classes representing common statistical distributions.
The underlying computational code is a translation from the C code included with the R statistical computing package. The translation isn't entirely pretty (especially since some of the C code was originally translated from Fortran), but it seems to work.
Classes implement the PDF, CDF, and (usually) quantile and random variate generation for the following distributions:
| beta | hypergeometric | normal |
| binomial | logistic | poisson |
| cauchy | lognormal | signrank |
| chisquare | negative_binomial | t |
| exponential | noncentral_beta | tukey |
| f | noncentral_chisquare | uniform |
| gamma | noncentral_f | weibull |
| geometric | noncentral_t | wilcox |
The java code, compiled classes, and (rudimentary) javadoc documentation is available as a jar file from http://sourceforge.net/project/showfiles.php?group_id=16634
You can also Browse the JavaDoc Documentation online.
Comments:
Patches, comments, etc welcome. Please submit at the SourceForge project page