Objects for Predicting Energy Expenditure
This is a data-only package containing model objects that predict
human energy expenditure from wearable sensor data. Supported methods include
the neural networks of Montoye et al. (2017)
and the models of Staudenmayer et al. (2015) ,
one a linear model and the other a random forest. The package is intended as
a spoke for the hub-package 'accelEE', which brings together the above methods
and others from packages such as 'Sojourn' and 'TwoRegression.'