Jan, this is really impressive! Thank you for sharing this with the
community.
Best wishes,
Achim
On Tue, 14 Apr 2026, De Leeuw, Jan wrote:
> Over the last couple of years I have written a large number of R codes for
> matrix approximation, multidimensional scaling, and multivariate analysis.
> The general approach is to write a stand-alone R program and in addition an
R driver that
> uses .C() to call a shared library, which is by itself a stand-alone
> C program. The main recent projects are C versions of the smacof MDS
> majorization (MM) method with extensions to Sammon mapping, Elastic
Scaling,
> strain, fStress, rStress -- all written in both R and C, all with both
> metric and non-metric versions.
>
> The papers/manuals/vignettes, largely unpublished and often unfinished, are
at
> https://jansweb.netlify.app/publication and the corresponding C, h, R, pdf,
> qmd, tex, bib files are at https://github.com/deleeuw?tab=repositories. I
am not
> interested in transforming these papers/codes to full-fledged publications,
> but the current form they may be useful to some. Everything in the
repositories
> is open source with a CC0 license, so it can be used (and modified)
> without attribution. On the other hand, all suggestions for improvement
> are welcome.
> ------------------------------------------------------------------
> Jan de Leeuw, Distinguished Professor Emeritus, UCLA Statistics
> https://jansweb.netlify.app ******** https://github.com/deleeuw
> ------------------------------------------------------------------
> Remember, no matter where you go, there you are. (Buckaroo Banzai)
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