Statistical Shape Analysis
Combine two or more groups of configurations
Modes of variation plots for PCA and PNSS
Plot configurations
Backfit from scores to configuration
Bookstein's baseline registration for 2D data
Centroid size
Compute a distance between two covariance matrices
Weighted Frechet mean of covariance matrices
Mean shape estimators
Principal Nested Spheres
Principal Nested Shape Spaces from PCA
Principal Nested Shape Space Analysis
Procrustes distance
Generalised Procrustes analysis
Ordinary Procrustes analysis
Weighted Procrustes analysis
Tests for mean shape difference using complex arithmetic, including bo...
Riemannian shape distance
Rigid body transformations
Principal components analysis for shape
Internal function(s)
Canonical variate analysis for shapes
Plot 3D data
Riemannian size-and-shape distance
Tests for mean shape difference, including permutation and bootstrap t...
Thin-plate spline transformation grids
Calculate similarity transformations
Routines for the statistical analysis of landmark shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices. See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.