Provides functions for the computation of functional elastic shape means over sets of open planar curves. The package is particularly suitable for settings where these curves are only sparsely and irregularly observed. It uses a novel approach for elastic shape mean estimation, where planar curves are treated as complex functions and a full Procrustes mean is estimated from the corresponding smoothed Hermitian covariance surface. This is combined with the methods for elastic mean estimation proposed in Steyer, Stöcker, Greven (2022) <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <doi:10.48550/arXiv.2203.10522> for details.
| Version: | 0.1.7 |
| Imports: | elasdics, utils, graphics, stats, splines, mgcv, sparseFLMM, orthogonalsplinebasis |
| Suggests: | knitr, covr, testthat (≥ 3.0.0), rmarkdown, shapes |
| Published: | 2023-08-21 |
| DOI: | 10.32614/CRAN.package.elastes |
| Author: | Manuel Pfeuffer [aut, cre], Lisa Steyer [aut], Almond Stoecker [aut] |
| Maintainer: | Manuel Pfeuffer <manuel.pfeuffer at hu-berlin.de> |
| BugReports: | https://github.com/mpff/elastes/issues |
| License: | GPL (≥ 3) |
| URL: | https://mpff.github.io/elastes/, https://github.com/mpff/elastes |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | elastes citation info |
| Materials: | README, NEWS |
| In views: | FunctionalData |
| CRAN checks: | elastes results |
| Reference manual: | elastes.html , elastes.pdf |
| Vignettes: |
How to estimate elastic shape means with elastes (source, R code) |
| Package source: | elastes_0.1.7.tar.gz |
| Windows binaries: | r-devel: elastes_0.1.7.zip, r-release: elastes_0.1.7.zip, r-oldrel: elastes_0.1.7.zip |
| macOS binaries: | r-release (arm64): elastes_0.1.7.tgz, r-oldrel (arm64): elastes_0.1.7.tgz, r-release (x86_64): elastes_0.1.7.tgz, r-oldrel (x86_64): elastes_0.1.7.tgz |
| Old sources: | elastes archive |
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