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
Author: Anne Le Maitre ORCID 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

Downloads:

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: vcvComp_1.0.2.tgz, r-oldrel: vcvComp_1.0.2.tgz
Old sources: vcvComp archive

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