prWarp: Warping Landmark Configurations

Compute bending energies, principal warps, partial warp scores, and the non-affine component of shape variation for 2D landmark configurations, as well as Mardia-Dryden distributions and self-similar distributions of landmarks, as described in Mitteroecker et al. (2020) <doi:10.1093/sysbio/syaa007>. Working examples to decompose shape variation into small-scale and large-scale components, and to decompose the total shape variation into outline and residual shape components are provided. Two landmark datasets are provided, that quantify skull morphology in humans and papionin primates, respectively from Mitteroecker et al. (2020) <doi:10.5061/dryad.j6q573n8s> and Grunstra et al. (2020) <doi:10.5061/dryad.zkh189373>.

Version: 1.0.0
Depends: R (≥ 3.6.0)
Imports: Morpho
Suggests: knitr, rmarkdown, geomorph
Published: 2020-11-02
Author: Anne Le Maitre ORCID iD [aut, cre], Silvester Bartsch [aut], Nicole Grunstra [aut], Philipp Mitteroecker [aut]
Maintainer: Anne Le Maitre <anne.le.maitre at univie.ac.at>
License: GPL-3
NeedsCompilation: no
Citation: prWarp citation info
CRAN checks: prWarp results

Downloads:

Reference manual: prWarp.pdf
Vignettes: prWarp: Homo example
prWarp: Papionin example
Package source: prWarp_1.0.0.tar.gz
Windows binaries: r-devel: prWarp_1.0.0.zip, r-release: prWarp_1.0.0.zip, r-oldrel: prWarp_1.0.0.zip
macOS binaries: r-release (arm64): prWarp_1.0.0.tgz, r-release (x86_64): prWarp_1.0.0.tgz, r-oldrel: prWarp_1.0.0.tgz

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