Package: CTxCC 0.1.0
Dr. Diana Barraza-Barraza
CTxCC: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
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.
Authors:
CTxCC_0.1.0.tar.gz
CTxCC_0.1.0.tar.gz(r-4.5-noble)CTxCC_0.1.0.tar.gz(r-4.4-noble)
CTxCC_0.1.0.tgz(r-4.4-emscripten)CTxCC_0.1.0.tgz(r-4.3-emscripten)
CTxCC.pdf |CTxCC.html✨
CTxCC/json (API)
| # Install 'CTxCC' in R: |
| install.packages('CTxCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:271095c3b6. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
Exports:C2.allPermsC2.ContributionC2.DecisionLimitdecomposeAget.RSimulatedDistributionC2wChisq.arlwChisq.CLimzConditionalParameters
Dependencies:combinatCompQuadFormexpmlatticeMatrixmatrixcalcmvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Contribution to C^2 for all variables | C2.allPerms |
| Contribution of variable z.var to C^2 | C2.Contribution |
| Conditional decision limit for z, given x already in model | C2.DecisionLimit |
| Calculation and decomposition of matrix A | decomposeA |
| Get Correlation matrix from a Covariance matrix | get.R |
| Distribution for C2, through simulation of its values | SimulatedDistributionC2 |
| Compute ARLs of Weighted Chi-Squared control charts for monitoring multivariate normal mean. | wChisq.arl |
| Compute control limit of Weighted Chi-Squared control charts for monitoring multivariate normal mean. | wChisq.CLim |
| Conditional parameters for z, given x | zConditionalParameters |