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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.

copied from cf-post-staging / r-shapes
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conda 896.4 kB | noarch/r-shapes-1.2.8-r44h2751f26_0.conda  11 days and 2 hours ago 58 main
conda 895.8 kB | noarch/r-shapes-1.2.8-r45h2751f26_0.conda  11 days and 2 hours ago 56 main

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