The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=success
to link to this page.
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.
Health stats visible at Monitor.