EE.Data

Objects for Predicting Energy Expenditure

v0.1.1 · Apr 1, 2026 · MIT + file LICENSE

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.'

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r-devel-linux-x86_64-debian-clang	OK	42.6s
r-devel-linux-x86_64-debian-gcc	OK	34.5s
r-devel-linux-x86_64-fedora-clang	OK	52.2s
r-devel-linux-x86_64-fedora-gcc	OK	50.7s
r-devel-macos-arm64	OK	25s
r-devel-windows-x86_64	OK	81s
r-oldrel-macos-x86_64	NOTE	63s
r-release-linux-x86_64	OK	39.2s
r-release-macos-arm64	OK	21s
r-release-macos-x86_64	OK	47s

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installed package size

installed size is  7.2Mb
  sub-directories of 1Mb or more:
    data   7.1Mb

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NOTE 5 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 2, 2026

NOTE r-oldrel-macos-x86_64

installed package size

installed size is  7.2Mb
  sub-directories of 1Mb or more:
    data   7.1Mb

Version History

new 0.1.1 Apr 1, 2026