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.
Documentation: Downloads: Reverse dependencies: Reverse imports: Anthropometry, biplotbootGUI, cncaGUI, CovTools, ETRep, LOST, maotai, multibiplotGUI, optiSolve, symbolicDA Reverse suggests: elastes, Morpho Linking:Please use the canonical form https://CRAN.R-project.org/package=shapes to link to this page.
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