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 [aut, cre], Mirko Signorelli [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-prerel: success_1.0.1.zip, r-release: success_1.0.1.zip, r-oldrel: success_1.0.1.zip
macOS binaries:	r-prerel (arm64): success_1.0.1.tgz, r-release (arm64): success_1.0.1.tgz, r-oldrel (arm64): success_1.0.1.tgz, r-prerel (x86_64): success_1.0.1.tgz, r-release (x86_64): success_1.0.1.tgz
Old sources:	success archive

Linking:

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