youth_wristRaw

Neural network for youth Sojourn method, taking raw accelerometer data from
non-dominant-wrist-worn monitors

datasets

Stores objects (e.g. neural networks) that are needed for
using Sojourn accelerometer methods. For more information, see
Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014)
<doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ,
Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>,
and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018)
<doi:10.1249/MSS.0000000000001486>.

Paul Hibbins

Sojourn.Data

Supporting Objects for Sojourn Accelerometer Methods

Kate Lyden

youth_wristRaw function

From print(youth_wristRaw):<dl class="dl-horizontal">
a 9-15-3 network with 198 weights inputs: Age SexM BMI ENMO_Q10 ENMO_Q25
ENMO_Q50 ENMO_Q75 ENMO_Q90 ENMO_lag1 output(s): .outcome options were -
softmax modelling decay=0.1
</dl>

Format

Neural network for youth Sojourn method, taking raw accelerometer data from
non-dominant-wrist-worn monitors — youth_wristRaw

From print(youth_wristRaw):<dl class='dl-horizontal'>
a 9-15-3 network with 198 weights inputs: Age SexM BMI ENMO_Q10 ENMO_Q25
ENMO_Q50 ENMO_Q75 ENMO_Q90 ENMO_lag1 output(s): .outcome options were -
softmax modelling decay=0.1
</dl>

youth_wristRaw: Neural network for youth Sojourn method, taking raw accelerometer data from non-dominant-wrist-worn monitors

Description

Usage

Arguments

Format