success: Survival Control Charts Estimation Software

Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.

Version: 1.0.1
Depends: ggplot2, pbapply, plotly, Rfast, R (≥ 3.5.0)
Imports: survival, ggrepel, Matrix, matrixcalc
Suggests: gridExtra, knitr, rmarkdown, vlad, testthat (≥ 3.1.10)
Published: 2023-10-09
Author: Daniel Gomon ORCID iD [aut, cre], Mirko Signorelli ORCID iD [ctb]
Maintainer: Daniel Gomon <d.gomon at math.leidenuniv.nl>
License: GPL (≥ 3)
URL: https://github.com/d-gomon/success
NeedsCompilation: yes
Citation: success citation info
Materials: README NEWS
CRAN checks: success results

Documentation:

Reference manual: success.pdf
Vignettes: SUrvival Control Chart EStimation Software in R:the success package

Downloads:

Package source: success_1.0.1.tar.gz
Windows binaries: r-devel: success_1.0.1.zip, r-release: success_1.0.1.zip, r-oldrel: success_1.0.1.zip
macOS binaries: r-release (arm64): success_1.0.1.tgz, r-oldrel (arm64): success_1.0.1.tgz, r-release (x86_64): success_1.0.1.tgz
Old sources: success archive

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