Package: CTxCC 0.4.0

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:Burcu Aytaçoğlu [aut], Diana Barraza-Barraza [aut, cre], Víctor G. Tercero-Gómez [aut], A. Eduardo Cordero-Franco [aut]

CTxCC_0.4.0.tar.gz
CTxCC_0.4.0.tar.gz(r-4.7-any)CTxCC_0.4.0.tar.gz(r-4.6-any)
CTxCC_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CTxCC/json (API)

# Install 'CTxCC' in R:
install.packages('CTxCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 588 downloads 13 exports 24 dependencies

Last updated from:b2833b52de. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK194
linux-release-x86_64OK131
wasm-releaseOK100

Exports:C2.ContributionC2.DecisionLimitc2decompcontributionplotCTXoptimdecomposeAget.Rms.optimSimulatedDistributionC2ss.optimwChisq.arlwChisq.CLimzConditionalParameters

Dependencies:clicombinatCompQuadFormcpp11expmfarverggplot2gluegtableisobandlabelinglatticelifecycleMatrixmatrixcalcmvtnormR6RColorBrewerrlangS7scalesvctrsviridisLitewithr