Curve Registration for Exponential Family Functional Data
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")
)
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.
ggplot2, tidyr, magrittr, dplyr, gridExtra, Rcpp (>= 0.11.5)
Julia Wrobel [aut, cre] (<https://orcid.org/0000-0001-6783-1421>),
Jeff Goldsmith [aut],
Erin McDonnell [aut]

c(
person("Julia", "Wrobel", role = c("aut", "cre"),
email = "julia.wrobel@cuanschutz.edu",
comment = c(ORCID = "0000-0001-6783-1421")),
person("Alexander", "Bauer", role = "aut", email = "alexander.bauer@stat.uni-muenchen.de"),
person("Erin", "McDonnell", role = "aut", email = "eim2117@cumc.columbia.edu"),
person("Fabian", "Scheipl", role = "ctb", email = "fabian.scheipl@lmu.de"),
person("Jeff", "Goldsmith", role = "aut", email = "jeff.goldsmith@columbia.edu")
)
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.
tidyr, magrittr, dplyr, pbs, Rcpp (>= 0.11.5), parallel, MASS,
utils, gamm4, lme4, mgcv, purrr, Matrix
testthat, knitr, rmarkdown, cowplot, ggplot2, pbapply,
fastglm
Julia Wrobel [aut, cre] (<https://orcid.org/0000-0001-6783-1421>),
Alexander Bauer [aut],
Erin McDonnell [aut],
Fabian Scheipl [ctb],
Jeff Goldsmith [aut]