{ "_id": "6ae5a2c28d250e7ad09f3203", "Package": "Rspc", "Type": "Package", "Title": "Nelson Rules for Control Charts", "Version": "1.2.2", "Author": "Martin Vagenknecht (MSD) [aut], Jindrich Soukup (MSD) [aut],\nStanislav Matousek (MSD) [aut, cre], Janet Alvarado (MSD) [ctb,\nrev]", "Maintainer": "Stanislav Matousek ", "Description": "Description: Rspc is an implementation of nelson rules for\ncontrol charts in R. The Rspc package implements some\nStatistical Process Control methods, namely Levey-Jennings type\nof I (individuals) chart, Shewhart C (count) chart and Nelson\nrules. Typical workflow is taking the time series, specify the\ncontrol limits, and list of Nelson rules you want to evaluate.\nThere are several options how to modify the rules (one sided\nlimits, numerical parameters of rules, etc.). Package is also\ncapable of calculating the control limits from the data (so far\nonly for i-chart and c-chart are implemented).", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "6.0.1", "VignetteBuilder": "knitr", "Repository": "https://merck.r-universe.dev", "Date/Publication": "2018-07-19 16:56:49 UTC", "RemoteUrl": "https://github.com/merck/spc_package", "RemoteRef": "HEAD", "RemoteSha": "752bc37e8b1edf13c38ffce30f2d9af95dd4a14c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-31 07:52:42 UTC", "User": "root" }, "_user": "merck", "_type": "src", "_file": "Rspc_1.2.2.tar.gz", "_fileid": "https://r2.ropensci.org/5d0446dbd4615a2b16da090f572307b05357480c15325c37cfb457fc544bc284", "_filesize": 125602, "_sha256": "5d0446dbd4615a2b16da090f572307b05357480c15325c37cfb457fc544bc284", "_expires": "2027-02-08T08:11:44.000Z", "_created": "2026-10-31T07:52:42.000Z", "_published": "2026-10-31T08:11:45.896Z", "_upstream": "https://github.com/merck/spc_package", "_status": 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