More on Multidimensional Scaling and Unfolding in R: smacof Version 2

The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates inclu...
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Gespeichert in:

Autor*in:	Patrick Mair [verfasserIn] Patrick J. F. Groenen [verfasserIn] Jan de Leeuw [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	multidimensional scaling multidimensional unfolding smacof r

Übergeordnetes Werk:	In: Journal of Statistical Software - Foundation for Open Access Statistics, 2003, 102(2022), Seite 47
Übergeordnetes Werk:	volume:102 ; year:2022 ; pages:47

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.18637/jss.v102.i10

Katalog-ID:	DOAJ039970256

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author	Patrick Mair
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topic_title	HA1-4737 More on Multidimensional Scaling and Unfolding in R: smacof Version 2 multidimensional scaling multidimensional unfolding smacof r
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title	More on Multidimensional Scaling and Unfolding in R: smacof Version 2
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title_sort	more on multidimensional scaling and unfolding in r: smacof version 2
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title_auth	More on Multidimensional Scaling and Unfolding in R: smacof Version 2
abstract	The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates include a complete re-implementation of multidimensional unfolding allowing for monotone dissimilarity transformations, including row-conditional, circular, and external unfolding. Additionally, the constrained MDS implementation was extended in terms of optimal scaling of the external variables. Further package additions include various tools and functions for goodness-of-fit assessment, unidimensional scaling, gravity MDS, asymmetric MDS, Procrustes, and MDS biplots. All these new package functionalities are illustrated using a variety of real-life applications.
abstractGer	The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates include a complete re-implementation of multidimensional unfolding allowing for monotone dissimilarity transformations, including row-conditional, circular, and external unfolding. Additionally, the constrained MDS implementation was extended in terms of optimal scaling of the external variables. Further package additions include various tools and functions for goodness-of-fit assessment, unidimensional scaling, gravity MDS, asymmetric MDS, Procrustes, and MDS biplots. All these new package functionalities are illustrated using a variety of real-life applications.
abstract_unstemmed	The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates include a complete re-implementation of multidimensional unfolding allowing for monotone dissimilarity transformations, including row-conditional, circular, and external unfolding. Additionally, the constrained MDS implementation was extended in terms of optimal scaling of the external variables. Further package additions include various tools and functions for goodness-of-fit assessment, unidimensional scaling, gravity MDS, asymmetric MDS, Procrustes, and MDS biplots. All these new package functionalities are illustrated using a variety of real-life applications.
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title_short	More on Multidimensional Scaling and Unfolding in R: smacof Version 2
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