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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.
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
visualisation graphics.
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:
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