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prWarp (version 1.0.1)

Warping Landmark Configurations

Description

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) . 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) and Grunstra et al. (2020) .

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Version

Install

install.packages('prWarp')

Monthly Downloads

211

Version

1.0.1

License

GPL-3

Maintainer

Anne Le Maitre

Last Published

March 20th, 2024

Functions in prWarp (1.0.1)

tps.all

Thin plate spline mapping (2D and 3D) for several sets of landmark coordinates
papionin

papionin dataset
xxyy.to.array

Convert landmark data matrix into array (p x k x n)
HomoMidSag

HomoMidSag dataset
ssim.distri

Self-similar distribution
md.distri

Mardia-Dryden distribution
array.to.xxyy

Convert (p x k x n) data array into 2D data matrix
create.pw.be

Principal warps