# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "EE.Data" in publications use:'
type: software
license: MIT
title: 'EE.Data: Objects for Predicting Energy Expenditure'
version: 0.1.1
doi: 10.32614/CRAN.package.EE.Data
abstract: 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) <https://doi.org/10.1080/1091367X.2017.1337638>
  and the models of Staudenmayer et al. (2015) <https://doi.org/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.'
authors:
- family-names: Hibbing
  given-names: Paul R.
  email: paulhibbing@gmail.com
repository: https://paulhibbing.r-universe.dev
commit: b8a3e800b0e077b3468b63a4d55bb98b6767430f
date-released: '2026-03-28'
contact:
- family-names: Hibbing
  given-names: Paul R.
  email: paulhibbing@gmail.com