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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.

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conda 867.5 kB | noarch/r-shapes-1.2.7-r43hc72bb7e_1.conda  1 year and 8 months ago 1327 main
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conda 870.7 kB | noarch/r-shapes-1.2.7-r41hc72bb7e_0.conda  2 years and 26 days ago 1476 main
conda 872.4 kB | noarch/r-shapes-1.2.7-r42hc72bb7e_0.conda  2 years and 26 days ago 1460 main
conda 905.7 kB | noarch/r-shapes-1.2.6-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1382 main
conda 899.4 kB | noarch/r-shapes-1.2.6-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1393 main
conda 897.5 kB | noarch/r-shapes-1.2.6-r40hc72bb7e_0.tar.bz2  3 years and 2 months ago 2034 main
conda 898.5 kB | noarch/r-shapes-1.2.6-r41hc72bb7e_0.tar.bz2  3 years and 2 months ago 2006 main

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