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) <arXiv:2203.10522> for details.

Version: 0.1.6
Imports: elasdics, utils, graphics, stats, splines, mgcv, sparseFLMM, orthogonalsplinebasis
Suggests: knitr, covr, testthat (≥ 3.0.0), rmarkdown, shapes
Published: 2022-07-03
Author: Manuel Pfeuffer [aut, cre], Lisa Steyer [aut], Almond Stoecker [aut]
Maintainer: Manuel Pfeuffer <mnl.pfeuffer at gmail.com>
License: GPL (≥ 3)
URL: https://mpff.github.io/elastes/
NeedsCompilation: no
Language: en-US
Citation: elastes citation info
Materials: README NEWS
CRAN checks: elastes results


Reference manual: elastes.pdf
Vignettes: How to estimate elastic shape means with elastes


Package source: elastes_0.1.6.tar.gz
Windows binaries: r-devel: elastes_0.1.6.zip, r-release: elastes_0.1.6.zip, r-oldrel: elastes_0.1.6.zip
macOS binaries: r-release (arm64): elastes_0.1.6.tgz, r-oldrel (arm64): elastes_0.1.6.tgz, r-release (x86_64): elastes_0.1.6.tgz, r-oldrel (x86_64): elastes_0.1.6.tgz


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