Package registr details

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)' . 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.

Maintainer: Julia Wrobel < julia.wrobel at cuanschutz.edu >

 
From within R, enter citation('registr')


To cite package 'registr' in publications use:

Julia Wrobel and Jeff Goldsmith (NA). registr: Registering Curves
from Exponential Family Functional Data. R package version 1.0.0.

A BibTeX entry for LaTeX users is

@Manual{,
title = {registr: Registering Curves from Exponential Family Functional Data},
author = {Julia Wrobel and Jeff Goldsmith},
note = {R package version 1.0.0},
}

 

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 March 3 2020 3:27PM
Last updated on March 3 2020 3:27PM
Package type standard
Source GitHub https://github.com/julia-wrobel/registr GitHub
OslerinHealth GitHub https://github.com/oslerinhealth/registr GitHub
System requirementsGNU make
DependsR (3.2)
Importsggplot2, tidyr, magrittr, dplyr, gridExtra, Rcpp (0.11.5)
LinkingToRcpp, RcppArmadillo
Suggeststestthat, knitr, rmarkdown