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prWarp  

Warping Landmark Configurations
View on CRAN: Click here


Download and install prWarp package within the R console
Install from CRAN:
install.packages("prWarp")

Install from Github:
library("remotes")
install_github("cran/prWarp")

Install by package version:
library("remotes")
install_version("prWarp", "1.0.1")



Attach the package and use:
library("prWarp")
Maintained by
Anne Le Maitre
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-02
Latest Update: 2020-11-02
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) .
How to cite:
Anne Le Maitre (2020). prWarp: Warping Landmark Configurations. R package version 1.0.1, https://cran.r-project.org/web/packages/prWarp. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2020-11-02 09:40)
Other packages that cited prWarp R package
View prWarp citation profile
Other R packages that prWarp depends, imports, suggests or enhances
Complete documentation for prWarp
Functions, R codes and Examples using the prWarp R package
Some associated functions: HomoMidSag . array.to.xxyy . create.pw.be . md.distri . papionin . ssim.distri . tps.all . xxyy.to.array . 
Some associated R codes: HomoMidSag-dataset.R . array.to.xxyy.R . create.pw.be.R . md.distri.R . papionin-dataset.R . ssim.distri.R . tps.all.R . xxyy.to.array.R .  Full prWarp package functions and examples
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