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Comparison of variance - covariance patterns using relative principal component analysis (relative eigenanalysis), as described in Le Maitre and Mitteroecker (2019) <doi:10.1111/2041-210X.13253>. Also provides functions to compute group covariance matrices, distance matrices, and perform proportionality tests. A worked sample on the body shape of cichlid fishes is included, based on the dataset from Kerschbaumer et al. (2013) <doi:10.5061/dryad.fc02f>.
Version: | 1.0.2 |
Depends: | R (≥ 3.6.0) |
Suggests: | knitr, rmarkdown, geomorph, scatterplot3d |
Published: | 2020-12-17 |
DOI: | 10.32614/CRAN.package.vcvComp |
Author: | Anne Le Maitre |
Maintainer: | Anne Le Maitre <anne.le.maitre at univie.ac.at> |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | vcvComp citation info |
Materials: | NEWS |
CRAN checks: | vcvComp results |
Reference manual: | vcvComp.pdf |
Vignettes: |
vcvComp: worked example |
Package source: | vcvComp_1.0.2.tar.gz |
Windows binaries: | r-devel: vcvComp_1.0.2.zip, r-release: vcvComp_1.0.2.zip, r-oldrel: vcvComp_1.0.2.zip |
macOS binaries: | r-release (arm64): vcvComp_1.0.2.tgz, r-oldrel (arm64): vcvComp_1.0.2.tgz, r-release (x86_64): vcvComp_1.0.2.tgz, r-oldrel (x86_64): vcvComp_1.0.2.tgz |
Old sources: | vcvComp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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