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 
[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 |
| In views: |
FunctionalData |
| CRAN checks: |
registr results |
Documentation:
Downloads:
Reverse dependencies:
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