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

More on Multidimensional Scaling and Unfolding in R: smacof Version 2
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有关 R 中多维缩放和展开的更多信息:smacof 版本 2

DOI:
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发表时间:
2022
影响因子:
5.8
通讯作者:
J. Leeuw
J. Leeuw
中科院分区:
计算机科学2区
文献类型:
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作者:
P. Mair;P. Groenen;J. Leeuw

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smacof 包提供了 R 中多维缩放 (MDS) 技术的全面实现。自首次发布(De Leeuw 和 Mair 2009b)以来,该软件包的功能得到了增强,并且添加了一些附加方法、功能和实用程序。主要更新包括完全重新实现多维展开,允许单调相异变换,包括行条件展开、循环展开和外部展开。此外,受约束的 MDS 实施在外部变量的最佳缩放方面得到了扩展。进一步添加的软件包包括用于拟合优度评估、一维缩放、重力 MDS、非对称 MDS、Procrustes 和 MDS 双图的各种工具和功能。所有这些新的软件包功能均通过各种实际应用程序进行说明。
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.
DOI: 10.1093/cercor/bhy080
发表时间: 2019-05-01
期刊: CEREBRAL CORTEX
影响因子: 3.7
作者:
Vaziri-Pashkam, Maryam;Xu, Yaoda
通讯作者: Xu, Yaoda