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vcvComp: Comparison of Variance - Covariance Patterns

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 MaitreORCID iD [aut, cre], Philipp Mitteroecker [aut]
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

Documentation:

Reference manual:vcvComp.html ,vcvComp.pdf
Vignettes:vcvComp: worked example (source,R code)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=vcvCompto link to this page.


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