registr: Curve Registration for Exponential Family Functional Data

A method for registering curves (functional data) that are generated from exponential family distributions. This implements the algorithms described in 'Wrobel et al. (2019)' <doi:10.1111/biom.12963>. Curve registration is an active area of research in functional data analysis, and can be used to better understand patterns in functional data by separating curves into phase and amplitude variability. This software handles both binary and continuous functional data, and is especially applicable in accelerometry and wearable technology.

Version: 1.0.0
Depends: R (≥ 3.2)
Imports: ggplot2, tidyr, magrittr, dplyr, gridExtra, Rcpp (≥ 0.11.5)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown
Published: 2020-03-16
Author: Julia Wrobel ORCID iD [aut, cre], Jeff Goldsmith [aut], Erin McDonnell [aut]
Maintainer: Julia Wrobel <julia.wrobel at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: FunctionalData
CRAN checks: registr results


Reference manual: registr.pdf
Vignettes: registr: a vignette


Package source: registr_1.0.0.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): registr_1.0.0.tgz, r-release (x86_64): registr_1.0.0.tgz, r-oldrel: registr_1.0.0.tgz


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