Package: csbewma 1.0.1

Faruk Muritala

csbewma: Cumulative Standardized Binomial EWMA for Multiple Stream Processes

Implements the Cumulative Standardized Binomial Exponentially Weighted Moving Average (CSB-EWMA) control chart for monitoring multiple independent streams with binomial outcomes. Provides exact variance calculations, adaptive control limits, post-hoc identification with multiple testing corrections (Bonferroni, Holm, Benjamini-Hochberg), and visualization tools. The method is described in Muritala et al. (2026) <doi:10.48550/arXiv.2601.09968>.

Authors:Faruk Muritala [aut, cre], Austin Brown [aut], Dhrubajyoti Ghosh [aut], Sherry Ni [aut]

csbewma_1.0.1.tar.gz
csbewma_1.0.1.tar.gz(r-4.7-any)csbewma_1.0.1.tar.gz(r-4.6-any)
csbewma_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
csbewma/json (API)

# Install 'csbewma' in R:
install.packages('csbewma', 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 14 exports 18 dependencies

Last updated from:3fb8ee5719. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK159
linux-release-x86_64OK143
wasm-releaseOK118

Exports:apply_multiple_testingcalculate_pvaluescsb_ewmadichotomize_dataflagged_streams_summarygenerate_continuous_dataidentify_oocplot_chart_with_flaggedplot_csb_ewma_directplot_flagged_streamsprecompute_variancerlaplacerun_csb_ewmavar_rt_exact_single

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclepatchworkR6RColorBrewerrlangS7scalesvctrsviridisLitewithr