On 26/06/2012 22:44, Duncan Murdoch wrote:
On 12-06-25 2:48 PM, Adler, Avraham wrote:
Hello.
Has any further action been taken regarding implementing David
Simcha's fast Kendall tau code (now found in the package pcaPP as
cor.fk) into R-base? It is literally hundreds of times faster,
although I am uncertain as to whether he wrote code for testing the
significance of the parameter. The last mention I have seen of this
was in
2010<https://stat.ethz.ch/pipermail/r-devel/2010-February/056745.html>.
You could check the NEWS file, but I don't remember anything being done
along these lines. If the code is in a CRAN package, there doesn't seem
to be any need to move it to base R.
In addition, this is something very specialized, and the code in R is
fast enough for all but the most unusual instances of that specialized
task. example(cor.fk) shows the R implementation takes well under a
second for 2000 cases (a far higher value than is usual).
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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