Other packages > Find by keyword >

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]
All associated links for this package
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 22 Dec. 2024.
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA