Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.48550/ARXIV.2205.07618>, 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: | 0.1.1 |
Depends: | ggplot2, pbapply, plotly, RColorBrewer, Rfast, R (≥ 3.5.0) |
Imports: | survival |
Suggests: | gridExtra, testthat (≥ 3.0.0) |
Published: | 2022-08-26 |
Author: | Daniel Gomon |
Maintainer: | Daniel Gomon <d.gomon at math.leidenuniv.nl> |
License: | GPL (≥ 3) |
URL: | https://github.com/d-gomon/success |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | success results |
Reference manual: | success.pdf |
Package source: | success_0.1.1.tar.gz |
Windows binaries: | r-devel: success_0.1.1.zip, r-release: success_0.1.1.zip, r-oldrel: success_0.1.1.zip |
macOS binaries: | r-release (arm64): success_0.1.1.tgz, r-oldrel (arm64): success_0.1.1.tgz, r-release (x86_64): success_0.1.1.tgz, r-oldrel (x86_64): success_0.1.1.tgz |
Old sources: | success archive |
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