Package: prWarp 1.0.1
Anne Le Maitre
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>.
Authors:
prWarp_1.0.1.tar.gz
prWarp_1.0.1.tar.gz(r-4.5-noble)prWarp_1.0.1.tar.gz(r-4.4-noble)
prWarp_1.0.1.tgz(r-4.4-emscripten)prWarp_1.0.1.tgz(r-4.3-emscripten)
prWarp.pdf |prWarp.html✨
prWarp/json (API)
NEWS
# Install 'prWarp' in R: |
install.packages('prWarp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- HomoMidSag - HomoMidSag dataset
- papionin - Papionin dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:d40723d398. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 16 2024 |
R-4.5-linux | OK | Dec 16 2024 |
Exports:array.to.xxyycreate.pw.bemd.distrissim.distritps.allxxyy.to.array
Dependencies:base64encbezierbslibcachemclassclassIntclicodetoolscolorRampsDBIdigestdoParallele1071evaluatefastmapfontawesomeforeachfsgluehighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteKernSmoothknitrlatticelifecyclemagrittrMASSMatrixmemoisemimeMorphoproxyR6rappdirsRcppRcppArmadilloRcppEigenrglrlangrmarkdownRvcgs2sasssftinytexunitswkxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Convert (p x k x n) data array into 2D data matrix | array.to.xxyy |
Principal warps | create.pw.be |
HomoMidSag dataset | HomoMidSag |
Mardia-Dryden distribution | md.distri |
papionin dataset | papionin |
Self-similar distribution | ssim.distri |
Thin plate spline mapping (2D and 3D) for several sets of landmark coordinates | tps.all |
Convert landmark data matrix into array (p x k x n) | xxyy.to.array |