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incubate: Parametric Time-to-Event Analysis with Variable Incubation
Phases
Fit parametric models for time-to-event data that show an initial
'incubation period', i.e., a variable delay phase where the hazard is zero. The
delayed Weibull distribution serves as foundational data model. The
specific method of 'MPSE' (maximum product of spacings estimation) is used for parameter
estimation. Bootstrap confidence intervals for parameters and significance
tests in a two group setting are provided.
| Version: |
1.2.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
future (≥ 1.21), future.apply (≥ 1.6), glue (≥ 1.4), MASS, purrr (≥ 0.3), rlang (≥ 0.4), stats, survival, tibble |
| Suggests: |
boot, future.callr, ggplot2 (≥ 3.3), knitr, testthat (≥
3.0.0) |
| Published: |
2023-08-21 |
| Author: |
Matthias Kuhn 
[aut, cre] |
| Maintainer: |
Matthias Kuhn <matthias.kuhn at tu-dresden.de> |
| BugReports: |
https://gitlab.com/imb-dev/incubate/-/issues/ |
| License: |
LGPL (≥ 3) |
| URL: |
https://gitlab.com/imb-dev/incubate/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
incubate results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=incubate
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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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