incubate: Parametric Time-to-Event Analysis with Variable IncubationPhases
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 |
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