Package: registr
Title: Curve Registration for Exponential Family Functional Data
Version: 1.0.0
Authors@R: c(
    person("Julia", "Wrobel", role = c("aut", "cre"), 
    email = "julia.wrobel@cuanschutz.edu",
    comment = c(ORCID = "0000-0001-6783-1421")),
    person("Jeff", "Goldsmith", role = "aut", email = "jeff.goldsmith@columbia.edu"),
    person("Erin", "McDonnell", role = "aut", email = "eim2117@cumc.columbia.edu")
    )
Description: 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.
Depends: R (>= 3.2)
Imports: ggplot2, tidyr, magrittr, dplyr, gridExtra, Rcpp (>= 0.11.5)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-03-09 00:34:03 UTC; juliawrobel
Author: Julia Wrobel [aut, cre] (<https://orcid.org/0000-0001-6783-1421>),
  Jeff Goldsmith [aut],
  Erin McDonnell [aut]
Maintainer: Julia Wrobel <julia.wrobel@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2020-03-16 11:40:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 08:23:25 UTC; windows
Archs: i386, x64
