EATME: An R package for EWMA control charts with adjustments of measurement error

Li-Pang Chen and Cheng-Kuan Lin

PLOS ONE, 2024, vol. 19, issue 10, 1-23

Abstract: In this paper, we introduce an R package EATME, which is known as Exponentially weighted moving average (EWMA) control chart with Adjustments To Measurement Error. The main purpose of this package is to correct for measurement error effects in continuous or binary random variables and develop the corrected control charts based on the EWMA statistic. In addition, the corrected control charts can detect out-of-control process accurately. The package contains a function to generate synthetic data and includes functions to determine the reasonable coefficient of control limit as well as estimate average run length. Moreover, for the visualization, we also provide the control charts to show the monitoring of in-control and out-of-control process. Finally, the functions in this package are clearly demonstrated, and numerical studies show the validity of the package.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0308828

DOI: 10.1371/journal.pone.0308828

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