For statistical analysis, the most complete computing environment available is
the R programming language.
R started as GNU freeware alternative to the proprietary Splus.
In some senses, due to the massive contributions from the statistical
research community, it has become a better product than the latter.
My main software product is the
ks (kernel smoothing)library which implements a wide range
of bandwidth selectors for multivariate kernel
density estimation and kernel discriminant analysis, as well as sophisticated
I don't have children (yet)
so this is the closest I have to a child: I started writing it from scratch
as doctoral candidate about 10 years ago, and I've carefully nurtured it
into its present form with a certain maturity.
This library is released under the General Public
Licence (GPL >= 2) so anyone is free to download and use from the
CRAN (Comprehensive R Archive Network), along with hundreds
of other user-contribted extension libraries to the base R distribution.
More details to follow....
Other sofware I've developed in R include: