<?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>rspcollective.r-universe.dev</title><link>https://rspcollective.r-universe.dev</link><description>Recent package updates in rspcollective</description><generator>R-universe</generator><image><url>https://github.com/rspcollective.png</url><title>R packages by rspcollective</title><link>https://rspcollective.r-universe.dev</link></image><lastBuildDate>Thu, 19 Jul 2018 16:56:49 GMT</lastBuildDate><item><title>[merck] Rspc 1.2.2</title><author>rspc@merck.com (Stanislav Matousek)</author><description>Description: Rspc is an implementation of nelson rules for
control charts in R. The Rspc package implements some
Statistical Process Control methods, namely Levey-Jennings type
of I (individuals) chart, Shewhart C (count) chart and Nelson
rules. Typical workflow is taking the time series, specify the
control limits, and list of Nelson rules you want to evaluate.
There are several options how to modify the rules (one sided
limits, numerical parameters of rules, etc.). Package is also
capable of calculating the control limits from the data (so far
only for i-chart and c-chart are implemented).</description><link>https://github.com/r-universe/merck/actions/runs/36834009855</link><pubDate>Thu, 19 Jul 2018 16:56:49 GMT</pubDate><r:package>Rspc</r:package><r:version>1.2.2</r:version><r:status>success</r:status><r:repository>https://merck.r-universe.dev</r:repository><r:upstream>https://github.com/merck/spc_package</r:upstream><r:article><r:source>Rspc.Rmd</r:source><r:filename>Rspc.html</r:filename><r:title>Rspc user guide</r:title><r:created>2018-07-19 16:56:49</r:created><r:modified>2018-07-19 16:56:49</r:modified></r:article></item></channel></rss>