elastes: Elastic Full Procrustes Means for Sparse and Irregular Planar
Curves
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 |
Documentation:
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