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).
- Version1.2.2
- R version≥ 3.1.0
- LicenseGPL-3
- Needs compilation?No
- Last release07/30/2018
Documentation
Team
Stanislav Matousek (MSD)
Martin Vagenknecht (MSD)
Show author detailsRolesAuthorJindrich Soukup (MSD)
Show author detailsRolesAuthorJanet Alvarado (MSD)
Show author detailsRolesContributor, ReviewerMerck Sharp & Dohme Corp. a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 5,886 times in the last 30 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 14 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 21,871 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Feb 11, 2025 with 752 downloads.
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Data provided by CRAN
Binaries
Dependencies
- Suggests1 package