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: | 1.1.1 |
| Depends: | ggplot2, pbapply, plotly, Rfast, R (≥ 3.5.0) |
| Imports: | survival, ggrepel, Matrix, matrixcalc |
| Suggests: | gridExtra, knitr, rmarkdown, testthat (≥ 3.1.10), covr |
| Published: | 2025-05-15 |
| 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: | no |
| Citation: | success citation info |
| Materials: | README, NEWS |
| CRAN checks: | success results |
| Reference manual: | success.html , success.pdf |
| Vignettes: |
SUrvival Control Chart EStimation Software in R:the success package (source) |
| Package source: | success_1.1.1.tar.gz |
| Windows binaries: | r-devel: success_1.1.1.zip, r-release: success_1.1.1.zip, r-oldrel: success_1.1.1.zip |
| macOS binaries: | r-release (arm64): success_1.1.1.tgz, r-oldrel (arm64): success_1.1.1.tgz, r-release (x86_64): success_1.1.1.tgz, r-oldrel (x86_64): success_1.1.1.tgz |
| Old sources: | success archive |
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