Package: bcc 1.5

bcc: Beta Control Charts

Applies Beta Control Charts to defined values. The Beta Chart presents control limits based on the Beta probability distribution, making it suitable for monitoring fraction data from a Binomial distribution as a replacement for p-Charts. The Beta Chart has been applied in three real studies and compared with control limits from three different schemes. The comparative analysis showed that: (i) the Beta approximation to the Binomial distribution is more appropriate for values confined within the [0, 1] interval; and (ii) the proposed charts are more sensitive to the average run length (ARL) in both in-control and out-of-control process monitoring. Overall, the Beta Charts outperform the Shewhart control charts in monitoring fraction data. For more details, see Ângelo Márcio Oliveira Sant’Anna and Carla Schwengber ten Caten (2012) <doi:10.1016/j.eswa.2012.02.146>.

Authors:Ângelo Santanna [aut], Daniel Cerqueira [aut, cre]

bcc_1.5.tar.gz
bcc_1.5.zip(r-4.7)bcc_1.5.zip(r-4.6)bcc_1.5.zip(r-4.5)
bcc_1.5.tgz(r-4.6-any)bcc_1.5.tgz(r-4.5-any)
bcc_1.5.tar.gz(r-4.7-any)bcc_1.5.tar.gz(r-4.6-any)
bcc_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
bcc/json (API)

# Install 'bcc' in R:
install.packages('bcc', repos = c('https://danielucas28.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.

2.22 score 33 scripts 555 downloads 4 exports 0 dependencies

Last updated from:eea41cc9ec. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK97
linux-release-x86_64OK94
macos-release-arm64OK121
macos-oldrel-arm64OK187
windows-develOK69
windows-releaseOK53
windows-oldrelOK182
wasm-releaseOK101

Exports:apply_shewhart_rulesbcccalculate_limitsplot_control_chart

Dependencies: