accelEE

accelEE is a package to simplify prediction of energy expenditure from accelerometer data. The following methods are currently supported:

• Hibbing two-regression models (see Hibbing et al. (2018) and the TwoRegression package)
• Linear Hildebrand (see 2014 and 2017 publications by Hildebrand et al.)
• Non-Linear Hildebrand (see Ellingson et al. (2017))
• Montoye neural networks (see Montoye et al. (2017))
• Sojourn methods of Lyden et al. (2014) and Ellingson et al. (2016)
• Staudenmayer linear model and random forest (see Staudenmayer et al. (2015))

Installation

You can install the development version of accelEE from GitHub with:

# install.packages("remotes")
# remotes::install_github("paulhibbing/accelEE")
install.packages("accelEE", repos = c('https://paulhibbing.r-universe.dev', 'https://cloud.r-project.org'))