[aut, cre],
Jeff Goldsmith [aut],
Erin McDonnell [aut]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
[aut, cre],
Jeff Goldsmith [aut],
Erin McDonnell [aut] |
| Maintainer: | Julia Wrobel <julia.wrobel at cuanschutz.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README NEWS |
| CRAN checks: | registr results |
| Reference manual: | registr.pdf |
| Vignettes: |
registr: a vignette |
| Package source: | registr_1.0.0.tar.gz |
| Windows binaries: | r-devel: registr_1.0.0.zip, r-release: registr_1.0.0.zip, r-oldrel: registr_1.0.0.zip |
| macOS binaries: | r-release: registr_1.0.0.tgz, r-oldrel: registr_1.0.0.tgz |
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