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.'


Reference manual

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install.packages("EE.Data")

0.2.0 by Paul R. Hibbing, 2 months ago


Browse source code at https://github.com/cran/EE.Data


Authors: Paul R. Hibbing [aut, cre] , Alexander H.K. Montoye [ctb] , John Staudenmayer [ctb] , Children's Mercy Kansas City [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Suggests nnet, randomForest


Suggested by accelEE.


See at CRAN