Package: Rspc 1.2.2

Stanislav Matousek

Rspc: Nelson Rules for Control Charts

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).

Authors:Martin Vagenknecht [aut], Jindrich Soukup [aut], Stanislav Matousek [aut, cre], Janet Alvarado [ctb, rev]

Rspc_1.2.2.tar.gz
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Rspc_1.2.2.tgz(r-4.4-any)Rspc_1.2.2.tgz(r-4.3-any)
Rspc_1.2.2.tar.gz(r-4.5-noble)Rspc_1.2.2.tar.gz(r-4.4-noble)
Rspc_1.2.2.tgz(r-4.4-emscripten)Rspc_1.2.2.tgz(r-4.3-emscripten)
Rspc.pdf |Rspc.html✨
Rspc/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/merck/spc_package/issues

On CRAN:

13 exports 1 stars 0.76 score 0 dependencies 24 scripts 412 downloads

Last updated 6 years agofrom:752bc37e8b. Checks:OK: 7. Indexed: yes.

Exports:CalculateLimitsCalculateZoneBordersEvaluateRulesNelsonRulesRule1Rule2Rule3Rule4Rule5Rule6Rule7Rule8SetParameters

Dependencies: