Rspc: Nelson Rules for Control Charts

Implementation of Nelson rules for control charts in 'R'. The 'Rspc' implements some Statistical Process Control methods, namely Levey-Jennings type of I (individuals) chart, Shewhart C (count) chart and Nelson rules (as described in Montgomery, D. C. (2013) Introduction to statistical quality control. Hoboken, NJ: Wiley.). 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).

Version: 1.2.2
Depends: R (≥ 3.1.0)
Suggests: knitr
Published: 2018-07-30
Author: Martin Vagenknecht (MSD) [aut], Jindrich Soukup (MSD) [aut], Stanislav Matousek (MSD) [aut, cre], Janet Alvarado (MSD) [ctb, rev], Merck Sharp & Dohme Corp. a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA [cph]
Maintainer: Stanislav Matousek (MSD) <rspc at merck.com>
BugReports: https://github.com/Merck/SPC_Package/issues
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Rspc results

Downloads:

Reference manual: Rspc.pdf
Vignettes: Rspc quick guide
Package source: Rspc_1.2.2.tar.gz
Windows binaries: r-devel: Rspc_1.2.2.zip, r-devel-gcc8: Rspc_1.2.2.zip, r-release: Rspc_1.2.2.zip, r-oldrel: Rspc_1.2.2.zip
OS X binaries: r-release: Rspc_1.2.2.tgz, r-oldrel: Rspc_1.2.2.tgz

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