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BayMDS: An R Package for Bayesian Multidimensional Scaling and Choice of Dimension

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MDSIC computes and plots MDSIC that can be used to select optimal number of dimensions for a given data set. There are also a few plot functions. plotObj shows pairwise… Click to show full abstract

MDSIC computes and plots MDSIC that can be used to select optimal number of dimensions for a given data set. There are also a few plot functions. plotObj shows pairwise scatter plots of object con fi guration in a Euclidean space for the fi rst three dimensions. plotTrace provides trace plots of parameter samples for visual inspection of MCMC convergence. plotDelDist plots the observed dissimilarity measures versus Euclidean distances computed from BMDS object con fi guration. bayMDSApp shows the results of bayMDS in a web-based GUI (graphical user

Keywords: multidimensional scaling; scaling choice; choice dimension; package bayesian; baymds package; bayesian multidimensional

Journal Title: Applied Psychological Measurement
Year Published: 2022

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