<?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>steven-lr.r-universe.dev</title><link>https://steven-lr.r-universe.dev</link><description>Recent package updates in steven-lr</description><generator>R-universe</generator><image><url>https://github.com/steven-lr.png</url><title>R packages by steven-lr</title><link>https://steven-lr.r-universe.dev</link></image><lastBuildDate>Wed, 30 Jul 2025 03:20:00 GMT</lastBuildDate><item><title>[steven-lr] tidyrhrv 1.1.0.9000</title><author>stevenlawrence.r@gmail.com (Steven Lawrence)</author><description>Allows users to quickly load multiple patients'
electrocardiographic (ECG) data at once and conduct relevant
time analysis of heart rate variability (HRV) without manual
edits from a physician or data cleaning specialist. The package
provides the unique ability to iteratively filter, plot, and
store time analysis results in a data frame while writing plots
to a predefined folder. This streamlines the workflow for HRV
analysis across multiple datasets. Methods are based on
Rodríguez-Liñares et al. (2011)
&lt;doi:10.1016/j.cmpb.2010.05.012&gt;. Examples of applications
using this package include Kwon et al. (2022)
&lt;doi:10.1007/s10286-022-00865-2&gt; and Lawrence et al. (2023)
&lt;doi:10.1016/j.autneu.2022.103056&gt;. This package was developed
while working on relevant research with the PAIRED lab at Mount
Sinai led by Jessica Robinson-Papp
&lt;https://labs.icahn.mssm.edu/robinson-papp-lab/&gt;.</description><link>https://github.com/r-universe/steven-lr/actions/runs/26443053823</link><pubDate>Wed, 30 Jul 2025 03:20:00 GMT</pubDate><r:package>tidyrhrv</r:package><r:version>1.1.0.9000</r:version><r:status>success</r:status><r:repository>https://steven-lr.r-universe.dev</r:repository><r:upstream>https://github.com/steven-lr/tidyrhrv</r:upstream></item></channel></rss>