Elastic Full Procrustes Means for Sparse and Irregular Planar Curves
Overview
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.
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DESCRIPTIONfile. - Add appropriate PKGNAME-package \alias as per "Documenting packages" in R-exts.
From NEWS.md in the release
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
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54 | \code{t_optims}{optimal parametrizations}
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55 | \code{G_optims}{optimal rotations}
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57 | \code{n_optims}{optimal re-normalization}
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58 | \code{n_iter}{number of iterations until convergence}
| ^NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Manuel Pfeuffer <manuel.pfeuffer@hu-berlin.de>’ The Description field contains <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <arXiv:2203.10522> Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE13 NOTE2026-06-09
- ERROR12 NOTE, 1 ERROR2026-06-08
- NOTE14 NOTE2026-03-30
- ERROR13 NOTE, 1 ERROR2026-03-10
Documentation
- Help pages
- 12 (1 internal)includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 67%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Dependencies
Installing elastes adds 56 packages (31 with compiled code, 50 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, lme4 4.1 MB.
Code & Tests
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Package metadata
- First published
- 2022-07-03
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- 56 KB
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