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))
You can install the development version of accelEE from GitHub with:
# install.packages("remotes")
remotes::install_github("paulhibbing/accelEE")