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dvqcc  

Dynamic VAR - Based Control Charts for Batch Process Monitoring
View on CRAN: Click here


Download and install dvqcc package within the R console
Install from CRAN:
install.packages("dvqcc")

Install from Github:
library("remotes")
install_github("cran/dvqcc")

Install by package version:
library("remotes")
install_version("dvqcc", "0.1.0")



Attach the package and use:
library("dvqcc")
Maintained by
Danilo Marcondes Filho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2020-06-09
Description:
A set of control charts for batch processes based on the VAR model. The package contains the implementation of T2.var and W.var control charts based on VAR model coefficients using the couple vectors theory. In each time-instant the VAR coefficients are estimated from a historical in-control dataset and a decision rule is made for online classifying of a new batch data. Those charts allow efficient online monitoring since the very first time-instant. The offline version is available too. In order to evaluate the chart's performance, this package contains functions to generate batch data for offline and online monitoring.See in Danilo Marcondes Filho and Marcio Valk (2020) .
How to cite:
Danilo Marcondes Filho (2020). dvqcc: Dynamic VAR - Based Control Charts for Batch Process Monitoring. R package version 0.1.0, https://cran.r-project.org/web/packages/dvqcc
Previous versions and publish date:
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Other R packages that dvqcc depends, imports, suggests or enhances
Functions, R codes and Examples using the dvqcc R package
Some associated functions: offlinem . onlinem . simoff . simon . 
Some associated R codes: chartsoff.R . chartson.R . offlinem.R . onlinem.R . simoff.R . simon.R . varfitoff.R . varfiton.R .  Full dvqcc package functions and examples
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Maintainer: Li Yan (view profile)

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