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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.
Package details |
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Author | Ian L. Dryden |
Maintainer | Ian Dryden <ian.dryden@nottingham.ac.uk> |
License | GPL-2 |
Version | 1.2.7 |
URL | http://www.maths.nottingham.ac.uk/~ild/shapes |
Package repository | View on CRAN |
Installation |
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