reg.nn

<p>Uniaxial neural network for use in the original uniaxial Sojourn method</p>

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

reg.nn function

<p>From print(reg.nn):
a 6-25-1 network with 207 weights inputs: X10. X25. X50. X75. X90. acf
output(s): oxy.METS.calculated options were - skip-layer connections  linear
output units</p>

reg.nn: Uniaxial neural network for use in the original uniaxial Sojourn method

Description

Usage

Arguments

Format