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EE.Data  

Objects for Predicting Energy Expenditure
View on CRAN: Click here


Download and install EE.Data package within the R console
Install from CRAN:
install.packages("EE.Data")

Install from Github:
library("remotes")
install_github("cran/EE.Data")

Install by package version:
library("remotes")
install_version("EE.Data", "0.1.1")



Attach the package and use:
library("EE.Data")
Maintained by
Paul R. Hibbing
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-01
Latest Update: 2026-04-01
Description:
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) <doi:10.1080/1091367X.2017.1337638> and the models of Staudenmayer et al. (2015) <doi:10.1152/japplphysiol.00026.2015>, 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.'
How to cite:
Paul R. Hibbing (2026). EE.Data: Objects for Predicting Energy Expenditure. R package version 0.1.1, https://cran.r-project.org/web/packages/EE.Data. Accessed 06 Jun. 2026.
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