Re: dimension reduction code
Achim Zeileis via R-help <[email protected]> Wed, 15 Apr 2026 11:30:44 +0200 (CEST)
| Newsgroups | gmane.comp.lang.r.general |
|---|---|
| Message-ID | <[email protected]> |
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 The papers/manuals/vignettes, largely unpublished and often unfinished, are at 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) > > > > > > > > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide https://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >