doi:10.1111/biom.12963> and further adapts them to potentially incomplete curves where (some) curves are not observed from the beginning and/or until the end of the common domain. Curve registration 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.">

registr: Curve Registration for Exponential Family Functional Data (original) (raw)

A method for performing joint registration and functional principal component analysis for curves (functional data) that are generated from exponential family distributions. This mainly implements the algorithms described in 'Wrobel et al. (2019)' <doi:10.1111/biom.12963> and further adapts them to potentially incomplete curves where (some) curves are not observed from the beginning and/or until the end of the common domain. Curve registration 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: 2.1.0
Depends: R (≥ 3.2)
Imports: tidyr, magrittr, dplyr, pbs, Rcpp (≥ 0.11.5), parallel, MASS, utils, gamm4, lme4, mgcv, purrr, Matrix
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, cowplot, ggplot2, pbapply, fastglm
Published: 2022-10-02
DOI: 10.32614/CRAN.package.registr
Author: Julia Wrobel ORCID iD [aut, cre], Alexander Bauer [aut], Erin McDonnell [aut], Fabian Scheipl [ctb], Jeff Goldsmith [aut]
Maintainer: Julia Wrobel <julia.wrobel at cuanschutz.edu>
License: MIT + file
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: FunctionalData
CRAN checks: registr results

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