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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: | 1.1.0 |
Depends: | ggplot2, pbapply, plotly, Rfast, R (≥ 3.5.0) |
Imports: | survival, ggrepel, Matrix, matrixcalc |
Suggests: | gridExtra, knitr, rmarkdown, testthat (≥ 3.1.10), covr |
Published: | 2024-06-19 |
DOI: | 10.32614/CRAN.package.success |
Author: | Daniel Gomon |
Maintainer: | Daniel Gomon <dgstatsoft at gmail.com> |
License: | GPL (≥ 3) |
URL: | https://github.com/d-gomon/success |
NeedsCompilation: | yes |
Citation: | success citation info |
Materials: | README NEWS |
CRAN checks: | success results |
Reference manual: | success.pdf |
Vignettes: |
SUrvival Control Chart EStimation Software in R:the success package |
Package source: | success_1.1.0.tar.gz |
Windows binaries: | r-devel: success_1.1.0.zip, r-release: success_1.1.0.zip, r-oldrel: success_1.1.0.zip |
macOS binaries: | r-release (arm64): success_1.1.0.tgz, r-oldrel (arm64): success_1.1.0.tgz, r-release (x86_64): success_1.1.0.tgz, r-oldrel (x86_64): success_1.1.0.tgz |
Old sources: | success archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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