CRAN/E | EATME

EATME

Exponentially Weighted Moving Average with Adjustments to Measurement Error

Installation

About

The univariate statistical quality control tool aims to address measurement error effects when constructing exponentially weighted moving average p control charts. The method primarily focuses on binary random variables, but it can be applied to any continuous random variables by using sign statistic to transform them to discrete ones. With the correction of measurement error effects, we can obtain the corrected control limits of exponentially weighted moving average p control chart and reasonably adjusted exponentially weighted moving average p control charts. The methods in this package can be found in some relevant references, such as Chen and Yang (2022) ; Yang et al. (2011) doi:10.1016/j.eswa.2010.11.044; Yang and Arnold (2014) doi:10.1155/2014/238719; Yang (2016) doi:10.1080/03610918.2013.763980 and Yang and Arnold (2016) doi:10.1080/00949655.2015.1125901.

Key Metrics

Version 0.1.0
Published 2022-05-17 701 days ago
Needs compilation? no
License GPL-3
CRAN checks EATME results

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Maintainer

Maintainer

Cheng-Kuan Lin Developer

zore2023852@gmail.com

Authors

Cheng-Kuan Lin Developer

aut / cre / cph

Li-Pang Chen Su-Fen Yang

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

qcr
stats
graphics

Suggests

knitr
rmarkdown