mdsOpt: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data

Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).

Version: 0.5-1
Depends: R (≥ 3.6.0), smacof, clusterSim, symbolicDA
Imports: smds, animation, plotrix, spdep
Suggests: testthat, R.rsp
Published: 2020-07-20
Author: Marek Walesiak, Andrzej Dudek
Maintainer: Andrzej Dudek <andrzej.dudek at ue.wroc.pl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://keii.ue.wroc.pl/mdsOpt
NeedsCompilation: no
Citation: mdsOpt citation info
CRAN checks: mdsOpt results

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Reference manual: mdsOpt.pdf
Vignettes: MdsOPT package, published in M. Walesiak and A. Dudek, "Searching for an Optimal MDS Procedure for Metric and Interval-Valued Data using mdsOpt R package", in: Education Excellence and Innovation Management: A 2025 Vision to Sustain Economic Development during Global Challenges, 2020, pp. 307-324.
Package source: mdsOpt_0.5-1.tar.gz
Windows binaries: r-devel: mdsOpt_0.5-1.zip, r-release: mdsOpt_0.5-1.zip, r-oldrel: mdsOpt_0.5-1.zip
macOS binaries: r-release: mdsOpt_0.5-1.tgz, r-oldrel: mdsOpt_0.5-1.tgz
Old sources: mdsOpt archive

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