Package registr details
Curve Registration for Exponential Family Functional Data
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)'
Maintainer: Julia Wrobel < julia.wrobel at cuanschutz.edu >
From within R, enter citation('registr')
To cite package 'registr' in publications use:
Julia Wrobel, Jeff Goldsmith, Erin McDonnell and Alexander Bauer
(NA). registr: Curve Registration for Exponential Family Functional
Data. R package version 1.0.1.
A BibTeX entry for LaTeX users is
@Manual{,
title = {registr: Curve Registration for Exponential Family Functional Data},
author = {Julia Wrobel and Jeff Goldsmith and Erin McDonnell and Alexander Bauer},
note = {R package version 1.0.1},
}
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
source("https://oslerinhealth.org/oslerLite.R")
# Default Install
osler_install('registr')
# from GitHub
osler_install('registr', release = "stable", release_repo = "github")
osler_install('registr', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | April 28 2021 10:00AM |
Last updated on | April 28 2021 10:00AM |
Package type | standard |
Source GitHub | https://github.com/julia-wrobel/registr GitHub |
OslerinHealth GitHub | https://github.com/oslerinhealth/registr GitHub |
System requirements | GNU make |
Depends | R (3.2) |
Imports | tidyr, magrittr, dplyr, gridExtra, pbs, Rcpp (0.11.5), parallel, MASS, utils, gamm4, lme4, mgcv, purrr, Matrix |
LinkingTo | Rcpp, RcppArmadillo |
Suggests | testthat, knitr, rmarkdown, cowplot, ggplot2, pbapply, fastglm |