Multidimensional Scaling
Gravity dissimilarities
MDS Biplots
SMACOF Bootstrap
Breakfast preferences
Pseudo Confidence Ellipses
CSR activities
Create Weights for Uniform Weighted Distribution
Asymmetric MDS: Drift Vectors
Fitting circle into point configuration
Exploring Initial Configurations
SMACOF Jackknife
SMACOF Permutation
2D SMACOF plots
Procrustean Similarity Transformations
Stress Calculation for Random Dissimilarities
Residuals
Converts similarites to dissimilarities
SMACOF Constraint
SMACOF for Individual Differences
Nonmetric unfolding
Spherical SMACOF
Symmetric smacof
Zero-Iterations Stress
S3 methods for smacof
Support Vector Machine MDS
Proximity Matrix Decomposition
Torgerson Scaling
Trading data
Internal Dissimilarity Transformation
Unidimensional Scaling
Vector Model of Unfolding
Wine tasting
Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.