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useR! 2024
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8 - 11 July, 2024
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Tuesday, July 9 • 15:30 - 15:50
Flexible Multidimensional Scaling with the R Packages Smacofx, Cops and Stops - Thomas Rusch, WU Vienna University of Economics and Business & Patrick Mair, Harvard University

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Multidimensional scaling (MDS) refers to methods that fit distances in a reduced space so that they optimally approximate given proximities between objects. Flexibility in modelling with MDS can be introduced by allowing for various transformations of the input proximities and/or the fitted distances, or by penalization. We will present three new R packages for flexible multidimensional scaling (fMDS) that allow to fit metric and nonmetric versions of fMDS including Power Stress MDS, Sammon Mapping, Elastic Scaling, Multiscale MDS, Box-Cox MDS, Local MDS or Cluster Optimized Proximity Scaling. Optimal structure-based hyperparameter selection of transformation parameters within the Structure Optimized Proximity Scaling framework can also be carried out. The packages offer a broad array of post-fit infrastructure for plotting MDS results, exploration of local minima, and uncertainty estimation. In the latter they follow the smacof design philosophy and are fully compatible with the smacof package, all packages together comprising the "smacofverse".
Speakers
avatar for Patrick Mair

Patrick Mair

Dr., Harvard University
Senior Lecturer in Statistics
avatar for Thomas Rusch

Thomas Rusch

Dr, WU Vienna University of Economics and Business
Thomas Rusch is Assistant Professor at the Competence Center for Empirical Research Methods at WU Vienna University of Economics and Business. His research interests includes exploratory data analysis, data mining, unsupervised statistical learning, psychometrics and computational... Read More →

Tuesday July 9, 2024 15:30 - 15:50 CEST
Wolfgangsee
  Statistical modelling
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