Package: rbcc 0.2.0

Zsolt Tibor Kosztyan

rbcc: Risk-Based Control Charts

Implements univariate and multivariate risk-based control charts for statistical process control in the presence of measurement uncertainty. Available charts include Shewhart X-bar, R, and S charts, moving-average charts, exponentially weighted moving-average charts, cumulative-sum charts, and Hotelling T-squared charts. Chart parameters can be optimized by minimizing the total cost of the four decision outcomes. The methodology is described by Kosztyan and Katona (2016) <doi:10.1016/j.eswa.2016.06.019>, Kosztyan and Katona (2018) <doi:10.1016/j.cie.2018.04.052>, Katona et al. (2023) <doi:10.1109/ACCESS.2023.3312226>, Saghir et al. (2025) <doi:10.1016/j.rineng.2025.107278>, and Saghir et al. (2026) <doi:10.1016/j.rico.2026.100661>.

Authors:Aamir Saghir [aut], Attila Imre Katona [aut], Zsolt Tibor Kosztyan [aut, cre]

rbcc_0.2.0.tar.gz
rbcc_0.2.0.zip(r-4.7-any)rbcc_0.2.0.zip(r-4.6-any)rbcc_0.2.0.zip(r-4.5-any)
rbcc_0.2.0.tgz(r-4.6-any)rbcc_0.2.0.tgz(r-4.5-any)
rbcc_0.2.0.tar.gz(r-4.7-any)rbcc_0.2.0.tar.gz(r-4.6-any)
rbcc_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rbcc/json (API)

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

Bug tracker:https://github.com/kzst/rbcc/issues

Datasets:
  • t2uc - Brake-Cylinder Measurement Data

On CRAN:

Conda:

2.70 score 3 scripts 401 downloads 12 exports 20 dependencies

Last updated from:d07ce0572d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK118
source / vignettesOK300
linux-releaseOK159
macos-releaseOK102
macos-oldrelOK94
windows-develOK67
windows-releaseOK67
windows-oldrelOK68
wasm-releaseOK100

Exports:data_genrbccrbcc_controlrbcc_optrbcusumccrbcusumcc_optrbewmaccrbewmacc_optrbmaccrbmacc_optrbmccrbmcc_opt

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleMASSPearsonDSqccR6RColorBrewerrlangS7scalesvctrsviridisLitewithr