<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>walkabillylab.r-universe.dev</title><link>https://walkabillylab.r-universe.dev</link><description>Recent package updates in walkabillylab</description><generator>R-universe</generator><image><url>https://github.com/walkabillylab.png</url><title>R packages by walkabillylab</title><link>https://walkabillylab.r-universe.dev</link></image><lastBuildDate>Thu, 03 Apr 2025 18:53:30 GMT</lastBuildDate><item><title>[walkabillylab] activityCounts 0.2.1</title><author>daniel.fuller@usask.ca (Daniel Fuller)</author><description>ActiLife software generates activity counts from data
collected by Actigraph accelerometers
&lt;https://s3.amazonaws.com/actigraphcorp.com/wp-content/uploads/2017/11/26205758/ActiGraph-White-Paper_What-is-a-Count_.pdf&gt;.
Actigraph is one of the most common research-grade
accelerometers. There is considerable research validating and
developing algorithms for human activity using ActiLife counts.
Unfortunately, ActiLife counts are proprietary and difficult to
implement if researchers use different accelerometer brands.
The code creates ActiLife counts from raw acceleration data for
different accelerometer brands and it is developed based on the
study done by Brond and others (2017)
&lt;doi:10.1249/MSS.0000000000001344&gt;.</description><link>https://github.com/r-universe/walkabillylab/actions/runs/27866162955</link><pubDate>Thu, 03 Apr 2025 18:53:30 GMT</pubDate><r:package>activityCounts</r:package><r:version>0.2.1</r:version><r:status>success</r:status><r:repository>https://walkabillylab.r-universe.dev</r:repository><r:upstream>https://github.com/walkabillylab/activitycounts</r:upstream><r:article><r:source>activityCounts.Rmd</r:source><r:filename>activityCounts.html</r:filename><r:title>activityCounts</r:title><r:created>2019-05-17 18:23:07</r:created><r:modified>2025-04-03 18:38:24</r:modified></r:article></item></channel></rss>