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), the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data. These procedures can be used to monitor survival processes for a change in the failure rate.
| Version: | 0.1.0 |
| Depends: | ggplot2, pbapply, plotly, RColorBrewer, R (≥ 3.5.0) |
| Imports: | survival |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2022-04-15 |
| 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: | no |
| Materials: | README |
| CRAN checks: | success results |
Documentation:
| Reference manual: | success.pdf |
Downloads:
| Package source: | success_0.1.0.tar.gz |
| Windows binaries: | r-devel: success_0.1.0.zip, r-release: success_0.1.0.zip, r-oldrel: success_0.1.0.zip |
| macOS binaries: | r-release (arm64): success_0.1.0.tgz, r-oldrel (arm64): success_0.1.0.tgz, r-release (x86_64): success_0.1.0.tgz, r-oldrel (x86_64): success_0.1.0.tgz |
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