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.
Version: | 1.2.6 |
Depends: | R (≥ 2.10) |
Imports: | minpack.lm, scatterplot3d, rgl, MASS |
Published: | 2021-03-31 |
Author: | Ian L. Dryden |
Maintainer: | Ian Dryden <ian.dryden at nottingham.ac.uk> |
License: | GPL-2 |
URL: | http://www.maths.nottingham.ac.uk/~ild/shapes |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | shapes results |
Reference manual: | shapes.pdf |
Package source: | shapes_1.2.6.tar.gz |
Windows binaries: | r-devel: shapes_1.2.6.zip, r-release: shapes_1.2.6.zip, r-oldrel: shapes_1.2.6.zip |
macOS binaries: | r-release (arm64): shapes_1.2.6.tgz, r-oldrel (arm64): shapes_1.2.6.tgz, r-release (x86_64): shapes_1.2.6.tgz, r-oldrel (x86_64): shapes_1.2.6.tgz |
Old sources: | shapes archive |
Reverse depends: | BiplotML |
Reverse imports: | Anthropometry, biplotbootGUI, cncaGUI, CovTools, LOST, maotai, multibiplotGUI, optiSolve, symbolicDA |
Reverse suggests: | elastes, Morpho |
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