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) and MLE-based methods are used for parameter
estimation. Bootstrap confidence intervals for parameters and significance
tests in a two group setting are provided.
| Version: |
1.3.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
future (≥ 1.21), future.apply (≥ 1.6), glue (≥ 1.4), MASS, purrr (≥ 0.3), rlang (≥ 0.4), stats, survival, tibble |
| Suggests: |
boot, dplyr, future.callr, ggplot2 (≥ 3.3), knitr, testthat (≥ 3.0.0), tidyr, withr |
| Published: |
2024-08-16 |
| DOI: |
10.32614/CRAN.package.incubate |
| Author: |
Matthias Kuhn 
[aut, cre, cph] |
| 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: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
incubate results |
Documentation:
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