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: | 1.2.5 |
| Depends: | R (≥ 2.10) |
| Imports: | minpack.lm, scatterplot3d, rgl, MASS |
| Published: | 2019-12-01 |
| 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_1.2.5.tar.gz |
| Windows binaries: | r-devel: shapes_1.2.5.zip, r-release: shapes_1.2.5.zip, r-oldrel: shapes_1.2.5.zip |
| macOS binaries: | r-release: shapes_1.2.5.tgz, r-oldrel: shapes_1.2.5.tgz |
| Old sources: | shapes archive |
| Reverse imports: | Anthropometry, biplotbootGUI, cncaGUI, CovTools, LOST, maotai, multibiplotGUI, optiSolve, symbolicDA, tidyMicro |
| Reverse suggests: | Morpho |
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