shapes: Statistical Shape Analysis

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

Documentation:

Reference manual: shapes.pdf

Downloads:

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 dependencies:

Reverse depends: BiplotML
Reverse imports: Anthropometry, biplotbootGUI, cncaGUI, CovTools, LOST, maotai, multibiplotGUI, optiSolve, symbolicDA
Reverse suggests: elastes, Morpho

Linking:

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