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CTxCC  

Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CTxCC", "0.2.0")



Attach the package and use:
library("CTxCC")
Maintained by
Dr. Diana Barraza-Barraza
[Scholar Profile | Author Map]
First Published: 2024-10-25
Latest Update: 2024-11-09
Description:
A comprehensive set of functions designed for multivariate mean monitoring using the Critical-to-X Control Chart. These functions enable the determination of optimal control limits based on a specified in-control Average Run Length (ARL), the calculation of out-of-control ARL for a given control limit, and post-signal analysis to identify the specific variable responsible for a detected shift in the mean. This suite of tools provides robust support for precise and effective process monitoring and analysis.
How to cite:
Dr. Diana Barraza-Barraza (2024). CTxCC: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart. R package version 0.2.0, https://cran.r-project.org/web/packages/CTxCC. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-10-25 09:40)
Other packages that cited CTxCC R package
View CTxCC citation profile
Other R packages that CTxCC depends, imports, suggests or enhances
Complete documentation for CTxCC
Functions, R codes and Examples using the CTxCC R package
Full CTxCC package functions and examples
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