accelEE: Predict Energy Expenditure from Accelerometer Data

Simplifies the application of various energy expenditure models. The package is intended as a hub that brings together methods from a variety of other, themed packages such as 'Sojourn' and 'TwoRegression'. Several methods are supported locally as well, including the linear methods of Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289> and the non-linear adaptation by Ellingson et al. (2017) <doi:10.1088/1361-6579/aa6d00>. The package can combine output from different methods and produce standardized output in a range of units.

Version:	0.3.1
Depends:	R (≥ 2.10)
Imports:	digest, dplyr, lubridate, magrittr, nnet, PAutilities (≥ 1.3.0), randomForest, rlang, Sojourn (≥ 1.1.0), stats, tidyr, tree, TwoRegression (≥ 1.0.0), utils
Suggests:	EE.Data, PhysActBedRest (≥ 1.1), PhysicalActivity (≥ 0.2.4), read.gt3x (≥ 1.0.2)
Published:	2026-05-12
DOI:	10.32614/CRAN.package.accelEE
Author:	Paul R. Hibbing [aut, cre], Children's Mercy Kansas City [cph]
Maintainer:	Paul R. Hibbing <paulhibbing at gmail.com>
BugReports:	https://github.com/paulhibbing/accelEE/issues
License:	MIT + file LICENSE
URL:	https://github.com/paulhibbing/accelEE
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	accelEE results

Documentation:

Reference manual:

accelEE.html , accelEE.pdf

Downloads:

Package source:	accelEE_0.3.1.tar.gz
Windows binaries:	r-devel: not available, r-release: accelEE_0.3.1.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): accelEE_0.3.1.tgz, r-oldrel (arm64): accelEE_0.3.1.tgz, r-release (x86_64): accelEE_0.3.1.tgz, r-oldrel (x86_64): accelEE_0.3.1.tgz

Linking:

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